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Agents use LLMs as a reasoning engine to decide which of the connected tool components to use to solve a problem.","source":"@site/docs/Components/components-tools.md","sourceDirName":"Components","slug":"/components-tools","permalink":"/components-tools","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Tools","slug":"/components-tools"},"sidebar":"docs","previous":{"title":"Prompts","permalink":"/components-prompts"},"next":{"title":"Vector stores","permalink":"/components-vector-stores"}}');var r=s(74848),i=s(28453),d=s(24754),l=s(84443);const c={title:"Tools",slug:"/components-tools"},o="Tool components in Langflow",h={},a={annotations:d.hk,Code:d.Cy},x={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},j=[{value:"Use a tool in a flow",id:"use-a-tool-in-a-flow",level:2},{value:"arXiv",id:"arxiv",level:2},{value:"Astra DB tool",id:"astra-db-tool",level:2},{value:"Define Astra DB tool parameters",id:"define-astra-db-tool-parameters",level:3},{value:"Astra DB CQL Tool",id:"astra-db-cql-tool",level:2},{value:"Bing Search API",id:"bing-search-api",level:2},{value:"Combinatorial Reasoner",id:"combinatorial-reasoner",level:2},{value:"DuckDuckGo search",id:"duckduckgo-search",level:2},{value:"Exa Search",id:"exa-search",level:2},{value:"Glean Search API",id:"glean-search-api",level:2},{value:"Google Serper API",id:"google-serper-api",level:2},{value:"MCP connection",id:"mcp-connection",level:2},{value:"MCP Server-Sent Events (SSE) mode",id:"mcp-sse-mode",level:3},{value:"Wikidata",id:"wikidata",level:2},{value:"Legacy components",id:"legacy-components",level:2},{value:"Calculator Tool",id:"calculator-tool",level:3},{value:"Google Search API",id:"google-search-api",level:3},{value:"Python Code Structured Tool",id:"python-code-structured-tool",level:3},{value:"Python REPL Tool",id:"python-repl-tool",level:3},{value:"Retriever Tool",id:"retriever-tool",level:3},{value:"Search API",id:"search-api",level:3},{value:"SearXNG Search Tool",id:"searxng-search-tool",level:3},{value:"Wikipedia API",id:"wikipedia-api",level:3},{value:"Deprecated components",id:"deprecated-components",level:2},{value:"MCP Tools (stdio)",id:"mcp-tools-stdio",level:3},{value:"MCP Tools (SSE)",id:"mcp-tools-sse",level:3}];function p(e){const t={a:"a",admonition:"admonition",code:"code",h1:"h1",h2:"h2",h3:"h3",header:"header",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,i.R)(),...e.components},{Details:n}=t;return a||m("CH",!1),a.Code||m("CH.Code",!0),n||m("Details",!0),(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] { --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n","\n",(0,r.jsx)(t.header,{children:(0,r.jsx)(t.h1,{id:"tool-components-in-langflow",children:"Tool components in Langflow"})}),"\n",(0,r.jsxs)(t.p,{children:["Tools are typically connected to agent components at the ",(0,r.jsx)(t.strong,{children:"Tools"})," port. Agents use LLMs as a reasoning engine to decide which of the connected tool components to use to solve a problem."]}),"\n",(0,r.jsxs)(t.p,{children:["Tools in agentic functions are, essentially, functions that the agent can call to perform tasks or access external resources.\nA function is wrapped as a ",(0,r.jsx)(t.code,{children:"Tool"})," object, with a common interface the agent understands.\nAgents become aware of tools through tool registration, where the agent is provided a list of available tools, typically at agent initialization. The ",(0,r.jsx)(t.code,{children:"Tool"})," object's description tells the agent what the tool can do."]}),"\n",(0,r.jsx)(t.p,{children:"The agent then uses a connected LLM to reason through the problem to decide which tool is best for the job."}),"\n",(0,r.jsx)(t.h2,{id:"use-a-tool-in-a-flow",children:"Use a tool in a flow"}),"\n",(0,r.jsxs)(t.p,{children:["Tools are typically connected to agent components at the ",(0,r.jsx)(t.strong,{children:"Tools"})," port."]}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.a,{href:"/starter-projects-simple-agent",children:"simple agent starter project"})," uses URL and Calculator tools connected to an ",(0,r.jsx)(t.a,{href:"/components-agents#agent-component",children:"agent component"})," to answer a user's questions. The OpenAI LLM acts as a brain for the agent to decide which tool to use."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Simple agent starter flow",src:s(19680).A+"",width:"1732",height:"1748"})}),"\n",(0,r.jsxs)(t.p,{children:["To make a component into a tool that an agent can use, enable ",(0,r.jsx)(t.strong,{children:"Tool mode"})," in the component. Enabling ",(0,r.jsx)(t.strong,{children:"Tool mode"})," modifies a component input to accept calls from an agent.\nIf the component you want to connect to an agent doesn't have a ",(0,r.jsx)(t.strong,{children:"Tool mode"})," option, you can modify the component's inputs to become a tool.\nFor an example, see ",(0,r.jsx)(t.a,{href:"/agents-tool-calling-agent-component#make-any-component-a-tool",children:"Make any component a tool"}),"."]}),"\n",(0,r.jsx)(t.h2,{id:"arxiv",children:"arXiv"}),"\n",(0,r.jsxs)(t.p,{children:["This component searches and retrieves papers from ",(0,r.jsx)(t.a,{href:"https://arXiv.org",children:"arXiv.org"}),"."]}),"\n",(0,r.jsxs)(n,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"search_query"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsxs)(t.td,{children:["The search query for arXiv papers. 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For more information, see the ",(0,r.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html",children:"DataStax documentation"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["In this example, an ",(0,r.jsx)(t.strong,{children:"OpenAI"})," embeddings component is connected to use the Astra DB tool component's ",(0,r.jsx)(t.strong,{children:"Semantic Search"})," capability.\nTo use ",(0,r.jsx)(t.strong,{children:"Semantic Search"}),", you must have an embedding model or Astra DB Vectorize enabled.\nIf you try to run the flow without an embedding model, you will get an error."]}),"\n",(0,r.jsxs)(t.p,{children:["Open the ",(0,r.jsx)(t.strong,{children:"Playground"})," and ask a question about your data.\nThe Agent uses the ",(0,r.jsx)(t.strong,{children:"Astra DB Tool"})," to return information about your collection."]}),"\n",(0,r.jsx)(t.h3,{id:"define-astra-db-tool-parameters",children:"Define Astra DB tool parameters"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Tool Parameters"})," configuration pane allows you to define parameters for ",(0,r.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/document-methods/find-many.html#parameters",children:"filter conditions"})," for the component's ",(0,r.jsx)(t.strong,{children:"Find"})," command."]}),"\n",(0,r.jsxs)(t.p,{children:["These filters become available as parameters that the LLM can use when calling the tool, with a better understanding of each parameter provided by the ",(0,r.jsx)(t.strong,{children:"Description"})," field."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To define a parameter for your query, in the ",(0,r.jsx)(t.strong,{children:"Tool Parameters"})," pane, click ",(0,r.jsx)(l.A,{name:"Plus","aria-label":"Add"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Complete the fields based on your data. For example, with this filter, the LLM can filter by unique ",(0,r.jsx)(t.code,{children:"customer_id"})," values."]}),"\n"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:["Name: ",(0,r.jsx)(t.code,{children:"customer_id"})]}),"\n",(0,r.jsx)(t.li,{children:"Attribute Name: Leave empty if the attribute matches the field name in the database."}),"\n",(0,r.jsxs)(t.li,{children:["Description: ",(0,r.jsx)(t.code,{children:'"The unique identifier of the customer to filter by"'}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Is Metadata: ",(0,r.jsx)(t.code,{children:"False"})," unless the value stored in the metadata field."]}),"\n",(0,r.jsxs)(t.li,{children:["Is Mandatory: ",(0,r.jsx)(t.code,{children:"True"})," to require this filter."]}),"\n",(0,r.jsxs)(t.li,{children:["Is Timestamp: ",(0,r.jsx)(t.code,{children:"False"})," since the value is an ID, not a timestamp."]}),"\n",(0,r.jsxs)(t.li,{children:["Operator: ",(0,r.jsx)(t.code,{children:"$eq"})," to look for an exact match."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["If you want to apply filters regardless of the LLM's input, use the ",(0,r.jsx)(t.strong,{children:"Static Filters"})," option, which is available in the component's ",(0,r.jsx)(t.strong,{children:"Controls"})," pane."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Parameter"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Name"}),(0,r.jsx)(t.td,{children:"The name of the parameter that is exposed to the LLM. It can be the same as the underlying field name or a more descriptive label. The LLM uses this name, along with the description, to infer what value to provide during execution."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Attribute Name"}),(0,r.jsxs)(t.td,{children:["When the parameter name shown to the LLM differs from the actual field or property in the database, use this setting to map the user-facing name to the correct attribute. For example, to apply a range filter to the timestamp field, define two separate parameters, such as ",(0,r.jsx)(t.code,{children:"start_date"})," and ",(0,r.jsx)(t.code,{children:"end_date"}),", that both reference the same timestamp attribute."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Description"}),(0,r.jsxs)(t.td,{children:["Provides instructions to the LLM on how the parameter should be used. Clear and specific guidance helps the LLM provide valid input. For example, if a field such as ",(0,r.jsx)(t.code,{children:"specialty"})," is stored in lowercase, the description should indicate that the input must be lowercase."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Is Metadata"}),(0,r.jsxs)(t.td,{children:["When loading data using LangChain or Langflow, additional attributes may be stored under a metadata object. If the target attribute is stored this way, enable this option. It adjusts the query by generating a filter in the format: ",(0,r.jsx)(t.code,{children:'{"metadata.": ""}'})]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Is Timestamp"}),(0,r.jsx)(t.td,{children:"For date or time-based filters, enable this option to automatically convert values to the timestamp format that the Astrapy client expects. This ensures compatibility with the underlying API without requiring manual formatting."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Operator"}),(0,r.jsxs)(t.td,{children:["Defines the filtering logic applied to the attribute. You can use any valid ",(0,r.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/filter-operator-collections.html",children:"Data API filter operator"}),". For example, to filter a time range on the timestamp attribute, use two parameters: one with the ",(0,r.jsx)(t.code,{children:"$gt"}),' operator for "greater than", and another with the ',(0,r.jsx)(t.code,{children:"$lt"}),' operator for "less than".']})]})]})]}),"\n",(0,r.jsxs)(n,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Tool Name"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The name used to reference the tool in the agent's prompt."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Tool Description"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"A brief description of the tool. This helps the model decide when to use it."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Collection Name"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The name of the Astra DB collection to query."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Token"}),(0,r.jsx)(t.td,{children:"SecretString"}),(0,r.jsx)(t.td,{children:"The authentication token for accessing Astra DB."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"API Endpoint"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The Astra DB API endpoint."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Projection Fields"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsxs)(t.td,{children:["The attributes to return, separated by commas. The default is ",(0,r.jsx)(t.code,{children:"*"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Tool Parameters"}),(0,r.jsx)(t.td,{children:"Dict"}),(0,r.jsxs)(t.td,{children:["Parameters the model needs to fill to execute the tool. For required parameters, use an exclamation mark, for example ",(0,r.jsx)(t.code,{children:"!customer_id"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Static Filters"}),(0,r.jsx)(t.td,{children:"Dict"}),(0,r.jsx)(t.td,{children:"Attribute-value pairs used to filter query results."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Limit"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The number of documents to return."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Data"})," output is used when directly querying Astra DB, while the ",(0,r.jsx)(t.strong,{children:"Tool"})," output is used when integrating with agents."]}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"List[Data]"}),(0,r.jsxs)(t.td,{children:["A list of ",(0,r.jsx)(t.a,{href:"/concepts-objects",children:"Data"})," objects containing the query results from Astra DB. 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For example, to start a ",(0,r.jsx)(t.a,{href:"https://github.com/modelcontextprotocol/servers/tree/main/src/fetch",children:"Fetch"})," server, the command is:"]}),"\n",(0,r.jsx)(a.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uvx ",props:{style:{color:"#FFA657"}}},{content:"mcp-server-fetch",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(t.p,{children:[(0,r.jsx)(t.code,{children:"uvx"})," is included with ",(0,r.jsx)(t.code,{children:"uv"})," in the Langflow package.\nTo use ",(0,r.jsx)(t.code,{children:"npx"})," server commands, you must first install an LTS release of ",(0,r.jsx)(t.a,{href:"https://docs.npmjs.com/downloading-and-installing-node-js-and-npm",children:"Node.js"}),".\nFor an example of starting ",(0,r.jsx)(t.code,{children:"npx"})," MCP servers, see ",(0,r.jsx)(t.a,{href:"/mcp-component-astra",children:"Connect an Astra DB MCP server to Langflow"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["To include environment variables with your server command, add them to the ",(0,r.jsx)(t.strong,{children:"Env"})," field like this:"]}),"\n",(0,r.jsx)(a.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ASTRA_DB_APPLICATION_TOKEN",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"AstraCS:...",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsx)(t.admonition,{type:"important",children:(0,r.jsxs)(t.p,{children:["Langflow passes environment variables from the ",(0,r.jsx)(t.code,{children:".env"})," file to MCP, but not global variables declared in the UI.\nTo add a value for an environment variable as a global variable, add it to Langflow's ",(0,r.jsx)(t.code,{children:".env"})," file at startup.\nFor more information, see ",(0,r.jsx)(t.a,{href:"/configuration-global-variables",children:"global variables"}),"."]})}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Click ",(0,r.jsx)(l.A,{name:"RefreshCw","aria-label":"Refresh"})," to get the server's list of ",(0,r.jsx)(t.strong,{children:"Tools"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the ",(0,r.jsx)(t.strong,{children:"Tool"})," field, select the server tool you want the component to use.\nThe available fields change based on the selected tool.\nFor information on the parameters, see the MCP server's documentation."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the ",(0,r.jsx)(t.strong,{children:"MCP connection"})," component, enable ",(0,r.jsx)(t.strong,{children:"Tool mode"}),".\nConnect the ",(0,r.jsx)(t.strong,{children:"MCP connection"})," component's ",(0,r.jsx)(t.strong,{children:"Toolset"})," port to an ",(0,r.jsx)(t.strong,{children:"Agent"})," component's ",(0,r.jsx)(t.strong,{children:"Tools"})," port."]}),"\n",(0,r.jsxs)(t.p,{children:["The flow looks similar to this:\n",(0,r.jsx)(t.img,{alt:"MCP connection component",src:s(63963).A+"",width:"4000",height:"2354"})]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Open the ",(0,r.jsx)(t.strong,{children:"Playground"}),".\nAsk the agent to summarize recent tech news. 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For example, ",(0,n.jsx)(t.code,{children:"quantum computing"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"search_type"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The field to search in."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"max_results"}),(0,n.jsx)(t.td,{children:"Integer"}),(0,n.jsx)(t.td,{children:"The maximum number of results to return."})]})]})]}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Outputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsx)(t.tbody,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"papers"}),(0,n.jsx)(t.td,{children:"List[Data]"}),(0,n.jsx)(t.td,{children:"A list of retrieved arXiv papers."})]})})]})]}),"\n",(0,n.jsx)(t.h2,{id:"astra-db-tool",children:"Astra DB tool"}),"\n",(0,n.jsx)(t.p,{children:"This component allows agents to query data from Astra DB collections."}),"\n",(0,n.jsxs)(t.p,{children:["To use this tool in a flow, connect it to an ",(0,n.jsx)(t.strong,{children:"Agent"})," component.\nThe flow looks like this:"]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{alt:"Astra DB JSON tool connected to an Agent",src:s(68335).A+"",width:"4000",height:"2742"})}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Tool Name"})," and ",(0,n.jsx)(t.strong,{children:"Tool Description"})," fields are required for the Agent to decide when to use the tool.\n",(0,n.jsx)(t.strong,{children:"Tool Name"})," cannot contain spaces."]}),"\n",(0,n.jsxs)(t.p,{children:["The values for ",(0,n.jsx)(t.strong,{children:"Collection Name"}),", ",(0,n.jsx)(t.strong,{children:"Astra DB Application Token"}),", and ",(0,n.jsx)(t.strong,{children:"Astra DB API Endpoint"})," are found in your Astra DB deployment. For more information, see the ",(0,n.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html",children:"DataStax documentation"}),"."]}),"\n",(0,n.jsxs)(t.p,{children:["In this example, an ",(0,n.jsx)(t.strong,{children:"OpenAI"})," embeddings component is connected to use the Astra DB tool component's ",(0,n.jsx)(t.strong,{children:"Semantic Search"})," capability.\nTo use ",(0,n.jsx)(t.strong,{children:"Semantic Search"}),", you must have an embedding model or Astra DB Vectorize enabled.\nIf you try to run the flow without an embedding model, you will get an error."]}),"\n",(0,n.jsxs)(t.p,{children:["Open the ",(0,n.jsx)(t.strong,{children:"Playground"})," and ask a question about your data.\nThe Agent uses the ",(0,n.jsx)(t.strong,{children:"Astra DB Tool"})," to return information about your collection."]}),"\n",(0,n.jsx)(t.h3,{id:"define-astra-db-tool-parameters",children:"Define Astra DB tool parameters"}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," configuration pane allows you to define parameters for ",(0,n.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/document-methods/find-many.html#parameters",children:"filter conditions"})," for the component's ",(0,n.jsx)(t.strong,{children:"Find"})," command."]}),"\n",(0,n.jsxs)(t.p,{children:["These filters become available as parameters that the LLM can use when calling the tool, with a better understanding of each parameter provided by the ",(0,n.jsx)(t.strong,{children:"Description"})," field."]}),"\n",(0,n.jsxs)(t.ol,{children:["\n",(0,n.jsxs)(t.li,{children:["To define a parameter for your query, in the ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," pane, click ",(0,n.jsx)(l.A,{name:"Plus","aria-label":"Add"}),"."]}),"\n",(0,n.jsxs)(t.li,{children:["Complete the fields based on your data. For example, with this filter, the LLM can filter by unique ",(0,n.jsx)(t.code,{children:"customer_id"})," values."]}),"\n"]}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:["Name: ",(0,n.jsx)(t.code,{children:"customer_id"})]}),"\n",(0,n.jsx)(t.li,{children:"Attribute Name: Leave empty if the attribute matches the field name in the database."}),"\n",(0,n.jsxs)(t.li,{children:["Description: ",(0,n.jsx)(t.code,{children:'"The unique identifier of the customer to filter by"'}),"."]}),"\n",(0,n.jsxs)(t.li,{children:["Is Metadata: ",(0,n.jsx)(t.code,{children:"False"})," unless the value stored in the metadata field."]}),"\n",(0,n.jsxs)(t.li,{children:["Is Mandatory: ",(0,n.jsx)(t.code,{children:"True"})," to require this filter."]}),"\n",(0,n.jsxs)(t.li,{children:["Is Timestamp: ",(0,n.jsx)(t.code,{children:"False"})," since the value is an ID, not a timestamp."]}),"\n",(0,n.jsxs)(t.li,{children:["Operator: ",(0,n.jsx)(t.code,{children:"$eq"})," to look for an exact match."]}),"\n"]}),"\n",(0,n.jsxs)(t.p,{children:["If you want to apply filters regardless of the LLM's input, use the ",(0,n.jsx)(t.strong,{children:"Static Filters"})," option, which is available in the component's ",(0,n.jsx)(t.strong,{children:"Controls"})," pane."]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Parameter"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Name"}),(0,n.jsx)(t.td,{children:"The name of the parameter that is exposed to the LLM. It can be the same as the underlying field name or a more descriptive label. The LLM uses this name, along with the description, to infer what value to provide during execution."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Attribute Name"}),(0,n.jsxs)(t.td,{children:["When the parameter name shown to the LLM differs from the actual field or property in the database, use this setting to map the user-facing name to the correct attribute. For example, to apply a range filter to the timestamp field, define two separate parameters, such as ",(0,n.jsx)(t.code,{children:"start_date"})," and ",(0,n.jsx)(t.code,{children:"end_date"}),", that both reference the same timestamp attribute."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Description"}),(0,n.jsxs)(t.td,{children:["Provides instructions to the LLM on how the parameter should be used. Clear and specific guidance helps the LLM provide valid input. For example, if a field such as ",(0,n.jsx)(t.code,{children:"specialty"})," is stored in lowercase, the description should indicate that the input must be lowercase."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Is Metadata"}),(0,n.jsxs)(t.td,{children:["When loading data using LangChain or Langflow, additional attributes may be stored under a metadata object. If the target attribute is stored this way, enable this option. It adjusts the query by generating a filter in the format: ",(0,n.jsx)(t.code,{children:'{"metadata.": ""}'})]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Is Timestamp"}),(0,n.jsx)(t.td,{children:"For date or time-based filters, enable this option to automatically convert values to the timestamp format that the Astrapy client expects. This ensures compatibility with the underlying API without requiring manual formatting."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Operator"}),(0,n.jsxs)(t.td,{children:["Defines the filtering logic applied to the attribute. You can use any valid ",(0,n.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/filter-operator-collections.html",children:"Data API filter operator"}),". For example, to filter a time range on the timestamp attribute, use two parameters: one with the ",(0,n.jsx)(t.code,{children:"$gt"}),' operator for "greater than", and another with the ',(0,n.jsx)(t.code,{children:"$lt"}),' operator for "less than".']})]})]})]}),"\n",(0,n.jsxs)(r,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Inputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The name used to reference the tool in the agent's prompt."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Description"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"A brief description of the tool. This helps the model decide when to use it."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Collection Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The name of the Astra DB collection to query."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"The authentication token for accessing Astra DB."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"API Endpoint"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The Astra DB API endpoint."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Projection Fields"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsxs)(t.td,{children:["The attributes to return, separated by commas. The default is ",(0,n.jsx)(t.code,{children:"*"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Parameters"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsxs)(t.td,{children:["Parameters the model needs to fill to execute the tool. For required parameters, use an exclamation mark, for example ",(0,n.jsx)(t.code,{children:"!customer_id"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Static Filters"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsx)(t.td,{children:"Attribute-value pairs used to filter query results."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Limit"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The number of documents to return."})]})]})]}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Outputs"})}),(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Data"})," output is used when directly querying Astra DB, while the ",(0,n.jsx)(t.strong,{children:"Tool"})," output is used when integrating with agents."]}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Data"}),(0,n.jsx)(t.td,{children:"List[Data]"}),(0,n.jsxs)(t.td,{children:["A list of ",(0,n.jsx)(t.a,{href:"/concepts-objects",children:"Data"})," objects containing the query results from Astra DB. Each ",(0,n.jsx)(t.code,{children:"Data"})," object contains the document fields specified by the projection attributes. Limited by the ",(0,n.jsx)(t.code,{children:"number_of_results"})," parameter."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool"}),(0,n.jsx)(t.td,{children:"StructuredTool"}),(0,n.jsxs)(t.td,{children:["A LangChain ",(0,n.jsx)(t.code,{children:"StructuredTool"})," object that can be used in agent workflows. Contains the tool name, description, argument schema based on tool parameters, and the query function."]})]})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"astra-db-cql-tool",children:"Astra DB CQL Tool"}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.code,{children:"Astra DB CQL Tool"})," allows agents to query data from CQL tables in Astra DB."]}),"\n",(0,n.jsxs)(r,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Inputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The name used to reference the tool in the agent's prompt."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Description"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"A brief description of the tool to guide the model in using it."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Keyspace"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The name of the keyspace."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Table Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The name of the Astra DB CQL table to query."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"The authentication token for Astra DB."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"API Endpoint"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The Astra DB API endpoint."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Projection Fields"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:'The attributes to return, separated by commas. Default: "*".'})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Partition Keys"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsx)(t.td,{children:"Required parameters that the model must fill to query the tool."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Clustering Keys"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsxs)(t.td,{children:["Optional parameters the model can fill to refine the query. Required parameters should be marked with an exclamation mark, for example, ",(0,n.jsx)(t.code,{children:"!customer_id"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Static Filters"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsx)(t.td,{children:"Attribute-value pairs used to filter query results."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Limit"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The number of records to return."})]})]})]}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Outputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Data"}),(0,n.jsx)(t.td,{children:"List[Data]"}),(0,n.jsxs)(t.td,{children:["A list of ",(0,n.jsx)(t.a,{href:"/concepts-objects",children:"Data"})," objects containing the query results from the Astra DB CQL table. Each Data object contains the document fields specified by the projection fields. Limited by the ",(0,n.jsx)(t.code,{children:"number_of_results"})," parameter."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool"}),(0,n.jsx)(t.td,{children:"StructuredTool"}),(0,n.jsx)(t.td,{children:"A LangChain StructuredTool object that can be used in agent workflows. Contains the tool name, description, argument schema based on partition and clustering keys, and the query function."})]})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"bing-search-api",children:"Bing Search API"}),"\n",(0,n.jsx)(t.p,{children:"This component allows you to call the Bing Search API."}),"\n",(0,n.jsxs)(r,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Inputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"bing_subscription_key"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"A Bing API subscription key."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"input_value"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The search query input."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"bing_search_url"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"A custom Bing Search URL."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"k"}),(0,n.jsx)(t.td,{children:"Integer"}),(0,n.jsx)(t.td,{children:"The number of search results to return."})]})]})]}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Outputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"results"}),(0,n.jsx)(t.td,{children:"List[Data]"}),(0,n.jsx)(t.td,{children:"A list of search results."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"tool"}),(0,n.jsx)(t.td,{children:"Tool"}),(0,n.jsx)(t.td,{children:"A Bing Search tool for use in LangChain."})]})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"combinatorial-reasoner",children:"Combinatorial Reasoner"}),"\n",(0,n.jsxs)(t.p,{children:["This component runs Icosa's Combinatorial Reasoning (CR) pipeline on an input to create an optimized prompt with embedded reasons. 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Default: 5."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"max_snippet_length"}),(0,n.jsx)(t.td,{children:"Integer"}),(0,n.jsx)(t.td,{children:"The maximum length of each result snippet. Default: 100."})]})]})]}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Outputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"data"}),(0,n.jsx)(t.td,{children:"List[Data]"}),(0,n.jsx)(t.td,{children:"A list of search results as Data objects containing snippets and full content."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"text"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The search results formatted as a single text string."})]})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"exa-search",children:"Exa Search"}),"\n",(0,n.jsxs)(t.p,{children:["This component provides an ",(0,n.jsx)(t.a,{href:"https://exa.ai/",children:"Exa Search"})," toolkit for search and content retrieval."]}),"\n",(0,n.jsxs)(r,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Inputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"metaphor_api_key"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"An API key for Exa Search."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"use_autoprompt"}),(0,n.jsx)(t.td,{children:"Boolean"}),(0,n.jsx)(t.td,{children:"Whether to use the autoprompt feature. 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Default: 5."})]})]})]}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Outputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsx)(t.tbody,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"tools"}),(0,n.jsx)(t.td,{children:"List[Tool]"}),(0,n.jsx)(t.td,{children:"A list of search tools provided by the toolkit."})]})})]})]}),"\n",(0,n.jsx)(t.h2,{id:"glean-search-api",children:"Glean Search API"}),"\n",(0,n.jsx)(t.p,{children:"This component allows you to call the Glean Search API."}),"\n",(0,n.jsxs)(r,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Inputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"glean_api_url"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The URL of the Glean API."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"glean_access_token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"An access token for Glean API authentication."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"query"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The search query input."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"page_size"}),(0,n.jsx)(t.td,{children:"Integer"}),(0,n.jsx)(t.td,{children:"The number of results per page. Default: 10."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"request_options"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsx)(t.td,{children:"Additional options for the API request."})]})]})]}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Outputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"results"}),(0,n.jsx)(t.td,{children:"List[Data]"}),(0,n.jsx)(t.td,{children:"A list of search results."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"tool"}),(0,n.jsx)(t.td,{children:"Tool"}),(0,n.jsx)(t.td,{children:"A Glean Search tool for use in LangChain."})]})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"google-serper-api",children:"Google Serper API"}),"\n",(0,n.jsx)(t.p,{children:"This component allows you to call the Serper.dev Google Search API."}),"\n",(0,n.jsxs)(r,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Inputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"serper_api_key"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"An API key for Serper.dev authentication."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"input_value"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The search query input."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"k"}),(0,n.jsx)(t.td,{children:"Integer"}),(0,n.jsx)(t.td,{children:"The number of search results to return."})]})]})]}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Outputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"results"}),(0,n.jsx)(t.td,{children:"List[Data]"}),(0,n.jsx)(t.td,{children:"A list of search results."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"tool"}),(0,n.jsx)(t.td,{children:"Tool"}),(0,n.jsx)(t.td,{children:"A Google Serper search tool for use in LangChain."})]})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"mcp-server",children:"MCP server"}),"\n",(0,n.jsxs)(t.p,{children:["This component connects to a ",(0,n.jsx)(t.a,{href:"https://modelcontextprotocol.io/introduction",children:"Model Context Protocol (MCP)"})," server and exposes the MCP server's tools as tools for Langflow agents."]}),"\n",(0,n.jsxs)(t.p,{children:["In addition to being an MCP client that can leverage MCP servers, the MCP component's ",(0,n.jsx)(t.a,{href:"#mcp-sse-mode",children:"SSE mode"})," allows you to connect your flow to the Langflow MCP server at the ",(0,n.jsx)(t.code,{children:"/api/v1/mcp/sse"})," API endpoint, exposing all flows within your ",(0,n.jsx)(t.a,{href:"/concepts-overview#projects",children:"project"})," as tools within a flow."]}),"\n",(0,n.jsx)(t.p,{children:"To use the MCP server component with an agent component, follow these steps:"}),"\n",(0,n.jsxs)(t.ol,{children:["\n",(0,n.jsxs)(t.li,{children:["\n",(0,n.jsx)(t.p,{children:"Add the MCP server component to your workflow."}),"\n"]}),"\n",(0,n.jsxs)(t.li,{children:["\n",(0,n.jsxs)(t.p,{children:["In the MCP server component, in the ",(0,n.jsx)(t.strong,{children:"MCP Command"})," field, enter the command to start your MCP server. For example, to start a ",(0,n.jsx)(t.a,{href:"https://github.com/modelcontextprotocol/servers/tree/main/src/fetch",children:"Fetch"})," server, the command is:"]}),"\n",(0,n.jsx)(a.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uvx ",props:{style:{color:"#FFA657"}}},{content:"mcp-server-fetch",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.code,{children:"uvx"})," is included with ",(0,n.jsx)(t.code,{children:"uv"})," in the Langflow package.\nTo use ",(0,n.jsx)(t.code,{children:"npx"})," server commands, you must first install an LTS release of ",(0,n.jsx)(t.a,{href:"https://docs.npmjs.com/downloading-and-installing-node-js-and-npm",children:"Node.js"}),".\nFor an example of starting ",(0,n.jsx)(t.code,{children:"npx"})," MCP servers, see ",(0,n.jsx)(t.a,{href:"/mcp-component-astra",children:"Connect an Astra DB MCP server to Langflow"}),"."]}),"\n",(0,n.jsxs)(t.p,{children:["To include environment variables with your server command, add them to the ",(0,n.jsx)(t.strong,{children:"Env"})," field like this:"]}),"\n",(0,n.jsx)(a.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ASTRA_DB_APPLICATION_TOKEN",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"AstraCS:...",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,n.jsx)(t.admonition,{type:"important",children:(0,n.jsxs)(t.p,{children:["Langflow passes environment variables from the ",(0,n.jsx)(t.code,{children:".env"})," file to MCP, but not global variables declared in the UI.\nTo add a value for an environment variable as a global variable, add it to Langflow's ",(0,n.jsx)(t.code,{children:".env"})," file at startup.\nFor more information, see ",(0,n.jsx)(t.a,{href:"/configuration-global-variables",children:"global variables"}),"."]})}),"\n"]}),"\n",(0,n.jsxs)(t.li,{children:["\n",(0,n.jsxs)(t.p,{children:["Click ",(0,n.jsx)(l.A,{name:"RefreshCw","aria-label":"Refresh"})," to get the server's list of ",(0,n.jsx)(t.strong,{children:"Tools"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(t.li,{children:["\n",(0,n.jsxs)(t.p,{children:["In the ",(0,n.jsx)(t.strong,{children:"Tool"})," field, select the server tool you want the component to use.\nThe available fields change based on the selected tool.\nFor information on the parameters, see the MCP server's documentation."]}),"\n"]}),"\n",(0,n.jsxs)(t.li,{children:["\n",(0,n.jsxs)(t.p,{children:["In the MCP server component, enable ",(0,n.jsx)(t.strong,{children:"Tool mode"}),".\nConnect the MCP server component's ",(0,n.jsx)(t.strong,{children:"Toolset"})," port to an ",(0,n.jsx)(t.strong,{children:"Agent"})," component's ",(0,n.jsx)(t.strong,{children:"Tools"})," port."]}),"\n",(0,n.jsxs)(t.p,{children:["The flow looks similar to this:\n",(0,n.jsx)(t.img,{alt:"MCP server component",src:s(63963).A+"",width:"4000",height:"2602"})]}),"\n"]}),"\n",(0,n.jsxs)(t.li,{children:["\n",(0,n.jsxs)(t.p,{children:["Open the ",(0,n.jsx)(t.strong,{children:"Playground"}),".\nAsk the agent to summarize recent tech news. 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It supports addition, subtraction, multiplication, division, and exponentiation."}),"\n",(0,n.jsxs)(r,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Inputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsx)(t.tbody,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"expression"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsxs)(t.td,{children:["The arithmetic expression to evaluate. 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API."}),"\n",(0,n.jsxs)(r,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Inputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"google_api_key"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"A Google API key for authentication."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"google_cse_id"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"A Google Custom Search Engine ID."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"input_value"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The search query 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code using a dataclass."}),"\n",(0,n.jsx)(t.p,{children:"The component dynamically updates its configuration based on the provided Python code, allowing for custom function arguments and descriptions."}),"\n",(0,n.jsxs)(r,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(t.p,{children:(0,n.jsx)(t.strong,{children:"Inputs"})}),(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"tool_code"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The Python code for the tool's dataclass."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"tool_name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"The name of the 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tools.\nHowever, you can connect any ",(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/clients",children:"MCP-compatible client"})," following similar steps."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Install ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/get-started/installation",children:"Cursor"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In Cursor, go to ",(0,s.jsx)(o.strong,{children:"Cursor Settings > MCP"}),", and then click ",(0,s.jsx)(o.strong,{children:"Add New Global MCP Server"}),".\nThis opens Cursor's global MCP configuration file, ",(0,s.jsx)(o.code,{children:"mcp.json"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In the Langflow dashboard, select the project that contains the flows you want to serve, and then click the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Copy the code template from the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab, and then paste it into ",(0,s.jsx)(o.code,{children:"mcp.json"})," in Cursor.\nFor example:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab automatically includes the correct ",(0,s.jsx)(o.code,{children:"PROJECT_NAME"}),", ",(0,s.jsx)(o.code,{children:"LANGFLOW_SERVER_ADDRESS"}),", and ",(0,s.jsx)(o.code,{children:"PROJECT_ID"})," values.\nThe default Langflow server address is ",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7860"})," (",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7868"})," if using Langflow for Desktop)."]}),"\n",(0,s.jsx)(o.admonition,{type:"important",children:(0,s.jsxs)(o.p,{children:["If your Langflow server ",(0,s.jsx)(o.a,{href:"/configuration-authentication",children:"requires authentication"})," (",(0,s.jsx)(o.a,{href:"/environment-variables#LANGFLOW_AUTO_LOGIN",children:(0,s.jsx)(o.code,{children:"LANGFLOW_AUTO_LOGIN"})})," is set to ",(0,s.jsx)(o.code,{children:"false"}),"), you must include your Langflow API key in the configuration.\nFor more information, see ",(0,s.jsx)(o.a,{href:"#authentication",children:"MCP server authentication and environment variables"}),"."]})}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Save and close the ",(0,s.jsx)(o.code,{children:"mcp.json"})," file in Cursor.\nThe newly added MCP server will appear in the ",(0,s.jsx)(o.strong,{children:"MCP Servers"})," section."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.p,{children:"Cursor is now connected to your project's MCP server and your flows are registered as tools.\nCursor determines when to use tools based on your queries, and requests permissions when necessary."}),"\n",(0,s.jsxs)(o.p,{children:["For more information, see the ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/context/model-context-protocol",children:"Cursor's MCP documentation"}),"."]}),"\n",(0,s.jsx)(o.h3,{id:"authentication",children:"MCP server authentication and environment variables"}),"\n",(0,s.jsxs)(o.p,{children:["If your Langflow server ",(0,s.jsx)(o.a,{href:"/configuration-authentication",children:"requires authentication"})," (",(0,s.jsx)(o.a,{href:"/environment-variables#LANGFLOW_AUTO_LOGIN",children:(0,s.jsx)(o.code,{children:"LANGFLOW_AUTO_LOGIN"})})," is set to ",(0,s.jsx)(o.code,{children:"false"}),"), then you must supply a ",(0,s.jsx)(o.a,{href:"/configuration-api-keys",children:"Langflow API key"})," in your MCP client configuration.\nWhen this is the case, the code template in your project's ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab automatically includes the ",(0,s.jsx)(o.code,{children:"--header"})," and ",(0,s.jsx)(o.code,{children:"x-api-key"})," arguments:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "--headers"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "x-api-key"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "YOUR_API_KEY"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Click ",(0,s.jsx)(l.A,{name:"key","aria-hidden":"true"})," ",(0,s.jsx)(o.strong,{children:"Generate API key"})," to automatically insert a new Langflow API key into the code template.\nAlternatively, you can replace ",(0,s.jsx)(o.code,{children:"YOUR_API_KEY"})," with an existing Langflow API key."]}),"\n",(0,s.jsx)(o.p,{children:(0,s.jsx)(o.img,{alt:"MCP server tab showing Generate API key button",src:n(95288).A+"",width:"4000",height:"2188"})}),"\n",(0,s.jsx)(o.p,{children:"To include environment variables with your MCP server command, include them like this:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "env"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "KEY"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"VALUE"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Replace ",(0,s.jsx)(o.code,{children:"KEY"})," and ",(0,s.jsx)(o.code,{children:"VALUE"})," with the environment variable name and value you want to include."]}),"\n",(0,s.jsx)(o.h2,{id:"name-and-describe-your-flows",children:"Name and describe your flows for agentic use"}),"\n",(0,s.jsxs)(o.p,{children:["MCP clients like ",(0,s.jsx)(o.a,{href:"https://www.cursor.com/",children:"Cursor"}),' "see" your Langflow project as a single MCP server, with ',(0,s.jsx)(o.em,{children:"all"})," of your enabled flows listed as tools.\nThis can confuse agents.\nFor example, an agent won't know that flow ",(0,s.jsx)(o.code,{children:"adbbf8c7-0a34-493b-90ea-5e8b42f78b66"})," is a ",(0,s.jsx)(o.a,{href:"/document-qa",children:"Document Q&A"})," flow for a specific text file."]}),"\n",(0,s.jsxs)(o.p,{children:["To prevent this behavior, make sure to ",(0,s.jsx)(o.a,{href:"#select-flows-to-serve",children:"name and describe"})," your flows clearly.\nIt's helpful to think of the names and descriptions as function names and code comments, making sure to use clear statements describing the problems your flows solve."]}),"\n",(0,s.jsxs)(o.p,{children:["For example, let's say you have a ",(0,s.jsx)(o.a,{href:"/document-qa",children:"Document Q&A"})," flow that loads a sample resume for an LLM to chat with, and that you've given it the following name and description:"]}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.strong,{children:"Flow Name"}),": ",(0,s.jsx)(o.code,{children:"document_qa_for_resume"})]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.strong,{children:"Flow Description"}),": ",(0,s.jsx)(o.code,{children:"A flow for analyzing Emily's resume."})]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(o.p,{children:["If you ask Cursor a question specifically about the resume, such as ",(0,s.jsx)(o.code,{children:"What job experience does Emily have?"}),", the agent asks to call the MCP tool ",(0,s.jsx)(o.code,{children:"document_qa_for_resume"}),".\nThat's because your name and description provided the agent with a clear purpose for the tool."]}),"\n",(0,s.jsx)(o.p,{children:"When you run the tool, the agent requests permissions when necessary, and then provides a response.\nFor example:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{}}]},{tokens:[{content:' "input_value": "What job experience does Emily have?"',props:{}}]},{tokens:[{content:"}",props:{}}]},{tokens:[{content:"Result:",props:{}}]},{tokens:[{content:"What job experience does Emily have?",props:{}}]},{tokens:[{content:"Emily J. Wilson has the following job experience:",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["If you ask about a different resume, such as ",(0,s.jsx)(o.code,{children:"What job experience does Alex have?"}),", you've provided enough information in the description for the agent to make the correct decision:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"I notice you're asking about Alex's job experience.",props:{}}]},{tokens:[{content:"Based on the available tools, I can see there is a Document QA for Resume flow that's designed for analyzing resumes.",props:{}}]},{tokens:[{content:"However, the description mentions it's for \"Emily's resume\" not Alex's. I don't have access to Alex's resume or job experience information.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(o.h2,{id:"test-and-debug-flows",children:"Use MCP Inspector to test and debug flows"}),"\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/docs/tools/inspector",children:"MCP Inspector"})," is a common tool for testing and debugging MCP servers.\nYou can use MCP Inspector to monitor your flows and get insights into how they are being consumed by the MCP server:"]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"Install MCP Inspector:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"npx ",props:{style:{color:"#FFA657"}}},{content:"@modelcontextprotocol/inspector",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["For more information about configuring MCP Inspector, including specifying a proxy port, see the ",(0,s.jsx)(o.a,{href:"https://github.com/modelcontextprotocol/inspector",children:"MCP Inspector GitHub project"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Open a web browser and navigate to the MCP Inspector UI.\nThe default address is ",(0,s.jsx)(o.code,{children:"http://127.0.0.1:6274"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"In the MCP Inspector UI, enter the connection details for your Langflow project's MCP server:"}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Transport Type"}),": Select ",(0,s.jsx)(o.strong,{children:"SSE"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"URL"}),": Enter the Langflow MCP server's ",(0,s.jsx)(o.code,{children:"sse"})," endpoint. For example: ",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7860/api/v1/mcp/project/d359cbd4-6fa2-4002-9d53-fa05c645319c/sse"})]}),"\n"]}),"\n",(0,s.jsxs)(o.p,{children:["If you've ",(0,s.jsx)(o.a,{href:"#authentication",children:"configured authentication for your MCP server"}),", fill out the following additional fields:"]}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Transport Type"}),": Select ",(0,s.jsx)(o.strong,{children:"STDIO"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Command"}),": ",(0,s.jsx)(o.code,{children:"uvx"})]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Arguments"}),": Enter the following list of arguments, separated by spaces. Replace the values for ",(0,s.jsx)(o.code,{children:"YOUR_API_KEY"}),", ",(0,s.jsx)(o.code,{children:"LANGFLOW_SERVER_ADDRESS"}),", and ",(0,s.jsx)(o.code,{children:"PROJECT_ID"})," with the values from your Langflow MCP server. For example:"]}),"\n"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"mcp-proxy ",props:{style:{color:"#FFA657"}}},{content:"--headers ",props:{style:{color:"#79C0FF"}}},{content:"x-api-key YOUR_API_KEY http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Click ",(0,s.jsx)(o.strong,{children:"Connect"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["If the connection was successful, you should see your project's flows in the ",(0,s.jsx)(o.strong,{children:"Tools"})," tab.\nFrom this tab, you can monitor how your flows are being registered as tools by MCP, as well as test the tools with custom input values."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To quit MCP Inspector, press ",(0,s.jsx)("kbd",{children:"Control+C"})," in the same terminal window where you started it."]}),"\n"]}),"\n"]}),"\n","\n",(0,s.jsx)(o.h2,{id:"deploy-your-server-externally",children:"Deploy your MCP server externally"}),"\n",(0,s.jsxs)(o.p,{children:["By default, Langflow isn't exposed to the public internet.\nHowever, you can forward Langflow server traffic with a forwarding platform like ",(0,s.jsx)(o.a,{href:"https://ngrok.com/docs/getting-started/",children:"ngrok"})," or ",(0,s.jsx)(o.a,{href:"https://docs.zrok.io/docs/getting-started",children:"zrok"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["The following procedure uses ngrok, but you can use any similar reverse proxy or forwarding platform.\nThis procedure also assumes that you're using the default Langflow listening address ",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7860"})," (",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7868"})," if using Langflow for Desktop)."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Sign up for an ",(0,s.jsx)(o.a,{href:"https://dashboard.ngrok.com/signup",children:"ngrok account"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.a,{href:"https://ngrok.com/docs/getting-started/#1-install-ngrok",children:"Install ngrok"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Copy your ",(0,s.jsx)(o.a,{href:"https://dashboard.ngrok.com/get-started/your-authtoken",children:"ngrok authtoken"})," and use it to authenticate your local ngrok server:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ngrok ",props:{style:{color:"#FFA657"}}},{content:"config add-authtoken NGROK_TOKEN",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Replace ",(0,s.jsx)(o.code,{children:"NGROK_TOKEN"})," with your ngrok authtoken."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"Use ngrok to expose your Langflow server to the public internet:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ngrok ",props:{style:{color:"#FFA657"}}},{content:"http http://localhost:",props:{style:{color:"#A5D6FF"}}},{content:"7860",props:{style:{color:"#79C0FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["The ngrok session starts in your terminal and deploys an ephemeral domain with no authentication.\nTo add authentication or deploy a static domain, see the ",(0,s.jsx)(o.a,{href:"https://ngrok.com/docs/",children:"ngrok documentation"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.code,{children:"Forwarding"})," row displays the forwarding address for your Langflow server:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Forwarding https://94b1-76-64-171-14.ngrok-free.app -> http://localhost:7860",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(o.p,{children:"The forwarding address is acting as a reverse proxy for your Langflow server."}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["From the Langflow dashboard, select the project that contains the flows you want to serve as tools, and then click the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab."]}),"\n",(0,s.jsx)(o.p,{children:"Note that the code template now contains your ngrok forwarding address instead of the localhost address:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' 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Protocol (MCP) as both an MCP server and an MCP client.","source":"@site/docs/Concepts/mcp-server.md","sourceDirName":"Concepts","slug":"/mcp-server","permalink":"/mcp-server","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Model Context Protocol (MCP) server","slug":"/mcp-server"},"sidebar":"docs","previous":{"title":"Publish flows","permalink":"/concepts-publish"},"next":{"title":"Manage files","permalink":"/concepts-file-management"}}');var s=n(74848),r=n(28453),c=n(24754),l=(n(65537),n(79329),n(84443));const i={title:"Model Context Protocol (MCP) server",slug:"/mcp-server"},a=void 0,d={},h={annotations:c.hk,Code:c.Cy},p={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},u=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Select and configure flows to expose as MCP tools",id:"select-flows-to-serve",level:2},{value:"Connect clients to Langflow's MCP server",id:"connect-clients-to-use-the-servers-actions",level:2},{value:"MCP server authentication and environment variables",id:"authentication",level:3},{value:"Name and describe your flows for agentic use",id:"name-and-describe-your-flows",level:2},{value:"Use MCP Inspector to test and debug flows",id:"test-and-debug-flows",level:2},{value:"Deploy your MCP server externally",id:"deploy-your-server-externally",level:2}];function f(e){const o={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,r.R)(),...e.components};return h||g("CH",!1),h.Code||g("CH.Code",!0),(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] { --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: 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",(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/introduction",children:"Model Context Protocol (MCP)"})," as both an MCP server and an MCP client.\nThis page describes how to use Langflow as an ",(0,s.jsx)(o.em,{children:"MCP server"}),".\nFor information about using Langflow as an ",(0,s.jsx)(o.em,{children:"MCP client"}),", see the ",(0,s.jsx)(o.a,{href:"/components-tools#mcp-server",children:"MCP component"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["As an MCP server, Langflow exposes your flows as ",(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/docs/concepts/tools",children:"tools"})," that ",(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/clients",children:"MCP clients"})," can use use to take actions."]}),"\n",(0,s.jsx)(o.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"A Langflow project with at least one flow 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",(0,s.jsx)(o.strong,{children:"Edit Actions"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In the ",(0,s.jsx)(o.strong,{children:"MCP Server Actions"})," window, select the flows that you want exposed as tools."]}),"\n",(0,s.jsx)(o.p,{children:(0,s.jsx)(o.img,{alt:"MCP server actions",src:n(66379).A+"",width:"4000",height:"2044"})}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Optional: Edit the ",(0,s.jsx)(o.strong,{children:"Flow Name"})," and ",(0,s.jsx)(o.strong,{children:"Flow Description"}),"."]}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.strong,{children:"Flow Name"}),": Enter a name thats makes it clear what the flow does."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.strong,{children:"Flow Description"}),": Enter a description that accurately describes the specific action(s) the flow 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tools.\nHowever, you can connect any ",(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/clients",children:"MCP-compatible client"})," following similar steps."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Install ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/get-started/installation",children:"Cursor"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In Cursor, go to ",(0,s.jsx)(o.strong,{children:"Cursor Settings > MCP"}),", and then click ",(0,s.jsx)(o.strong,{children:"Add New Global MCP Server"}),".\nThis opens Cursor's global MCP configuration file, ",(0,s.jsx)(o.code,{children:"mcp.json"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In the Langflow dashboard, select the project that contains the flows you want to serve, and then click the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Copy the code template from the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab, and then paste it into ",(0,s.jsx)(o.code,{children:"mcp.json"})," in Cursor.\nFor example:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab automatically includes the correct ",(0,s.jsx)(o.code,{children:"PROJECT_NAME"}),", ",(0,s.jsx)(o.code,{children:"LANGFLOW_SERVER_ADDRESS"}),", and ",(0,s.jsx)(o.code,{children:"PROJECT_ID"})," values.\nThe default Langflow server address is ",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7860"})," (",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7868"})," if using Langflow for Desktop)."]}),"\n",(0,s.jsx)(o.admonition,{type:"important",children:(0,s.jsxs)(o.p,{children:["If your Langflow server ",(0,s.jsx)(o.a,{href:"/configuration-authentication",children:"requires authentication"})," (",(0,s.jsx)(o.a,{href:"/environment-variables#LANGFLOW_AUTO_LOGIN",children:(0,s.jsx)(o.code,{children:"LANGFLOW_AUTO_LOGIN"})})," is set to ",(0,s.jsx)(o.code,{children:"false"}),"), you must include your Langflow API key in the configuration.\nFor more information, see ",(0,s.jsx)(o.a,{href:"#authentication",children:"MCP server authentication and environment variables"}),"."]})}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Save and close the ",(0,s.jsx)(o.code,{children:"mcp.json"})," file in Cursor.\nThe newly added MCP server will appear in the ",(0,s.jsx)(o.strong,{children:"MCP Servers"})," section."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.p,{children:"Cursor is now connected to your project's MCP server and your flows are registered as tools.\nCursor determines when to use tools based on your queries, and requests permissions when necessary."}),"\n",(0,s.jsxs)(o.p,{children:["For more information, see the ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/context/model-context-protocol",children:"Cursor's MCP documentation"}),"."]}),"\n",(0,s.jsx)(o.h3,{id:"authentication",children:"MCP server authentication and environment variables"}),"\n",(0,s.jsxs)(o.p,{children:["If your Langflow server ",(0,s.jsx)(o.a,{href:"/configuration-authentication",children:"requires authentication"})," (",(0,s.jsx)(o.a,{href:"/environment-variables#LANGFLOW_AUTO_LOGIN",children:(0,s.jsx)(o.code,{children:"LANGFLOW_AUTO_LOGIN"})})," is set to ",(0,s.jsx)(o.code,{children:"false"}),"), then you must supply a ",(0,s.jsx)(o.a,{href:"/configuration-api-keys",children:"Langflow API key"})," in your MCP client configuration.\nWhen this is the case, the code template in your project's ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab automatically includes the ",(0,s.jsx)(o.code,{children:"--header"})," and ",(0,s.jsx)(o.code,{children:"x-api-key"})," arguments:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "--headers"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "x-api-key"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "YOUR_API_KEY"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Click ",(0,s.jsx)(l.A,{name:"key","aria-hidden":"true"})," ",(0,s.jsx)(o.strong,{children:"Generate API key"})," to automatically insert a new Langflow API key into the code template.\nAlternatively, you can replace ",(0,s.jsx)(o.code,{children:"YOUR_API_KEY"})," with an existing Langflow API key."]}),"\n",(0,s.jsx)(o.p,{children:(0,s.jsx)(o.img,{alt:"MCP server tab showing Generate API key button",src:n(95288).A+"",width:"4000",height:"2188"})}),"\n",(0,s.jsx)(o.p,{children:"To include environment variables with your MCP server command, include them like this:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "env"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "KEY"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"VALUE"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Replace ",(0,s.jsx)(o.code,{children:"KEY"})," and ",(0,s.jsx)(o.code,{children:"VALUE"})," with the environment variable name and value you want to include."]}),"\n",(0,s.jsx)(o.h2,{id:"name-and-describe-your-flows",children:"Name and describe your flows for agentic use"}),"\n",(0,s.jsxs)(o.p,{children:["MCP clients like ",(0,s.jsx)(o.a,{href:"https://www.cursor.com/",children:"Cursor"}),' "see" your Langflow project as a single MCP server, with ',(0,s.jsx)(o.em,{children:"all"})," of your enabled flows listed as tools.\nThis can confuse agents.\nFor example, an agent won't know that flow ",(0,s.jsx)(o.code,{children:"adbbf8c7-0a34-493b-90ea-5e8b42f78b66"})," is a ",(0,s.jsx)(o.a,{href:"/document-qa",children:"Document Q&A"})," flow for a specific text file."]}),"\n",(0,s.jsxs)(o.p,{children:["To prevent this behavior, make sure to ",(0,s.jsx)(o.a,{href:"#select-flows-to-serve",children:"name and describe"})," your flows clearly.\nIt's helpful to think of the names and descriptions as function names and code comments, making sure to use clear statements describing the problems your flows solve."]}),"\n",(0,s.jsxs)(o.p,{children:["For example, let's say you have a ",(0,s.jsx)(o.a,{href:"/document-qa",children:"Document Q&A"})," flow that loads a sample resume for an LLM to chat with, and that you've given it the following name and description:"]}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.strong,{children:"Flow Name"}),": ",(0,s.jsx)(o.code,{children:"document_qa_for_resume"})]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.strong,{children:"Flow Description"}),": ",(0,s.jsx)(o.code,{children:"A flow for analyzing Emily's resume."})]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(o.p,{children:["If you ask Cursor a question specifically about the resume, such as ",(0,s.jsx)(o.code,{children:"What job experience does Emily have?"}),", the agent asks to call the MCP tool ",(0,s.jsx)(o.code,{children:"document_qa_for_resume"}),".\nThat's because your name and description provided the agent with a clear purpose for the tool."]}),"\n",(0,s.jsx)(o.p,{children:"When you run the tool, the agent requests permissions when necessary, and then provides a response.\nFor example:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{}}]},{tokens:[{content:' "input_value": "What job experience does Emily have?"',props:{}}]},{tokens:[{content:"}",props:{}}]},{tokens:[{content:"Result:",props:{}}]},{tokens:[{content:"What job experience does Emily have?",props:{}}]},{tokens:[{content:"Emily J. Wilson has the following job experience:",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["If you ask about a different resume, such as ",(0,s.jsx)(o.code,{children:"What job experience does Alex have?"}),", you've provided enough information in the description for the agent to make the correct decision:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"I notice you're asking about Alex's job experience.",props:{}}]},{tokens:[{content:"Based on the available tools, I can see there is a Document QA for Resume flow that's designed for analyzing resumes.",props:{}}]},{tokens:[{content:"However, the description mentions it's for \"Emily's resume\" not Alex's. I don't have access to Alex's resume or job experience information.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(o.h2,{id:"test-and-debug-flows",children:"Use MCP Inspector to test and debug flows"}),"\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/docs/tools/inspector",children:"MCP Inspector"})," is a common tool for testing and debugging MCP servers.\nYou can use MCP Inspector to monitor your flows and get insights into how they are being consumed by the MCP server:"]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"Install MCP Inspector:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"npx ",props:{style:{color:"#FFA657"}}},{content:"@modelcontextprotocol/inspector",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["For more information about configuring MCP Inspector, including specifying a proxy port, see the ",(0,s.jsx)(o.a,{href:"https://github.com/modelcontextprotocol/inspector",children:"MCP Inspector GitHub project"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Open a web browser and navigate to the MCP Inspector UI.\nThe default address is ",(0,s.jsx)(o.code,{children:"http://127.0.0.1:6274"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"In the MCP Inspector UI, enter the connection details for your Langflow project's MCP server:"}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Transport Type"}),": Select ",(0,s.jsx)(o.strong,{children:"SSE"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"URL"}),": Enter the Langflow MCP server's ",(0,s.jsx)(o.code,{children:"sse"})," endpoint. For example: ",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7860/api/v1/mcp/project/d359cbd4-6fa2-4002-9d53-fa05c645319c/sse"})]}),"\n"]}),"\n",(0,s.jsxs)(o.p,{children:["If you've ",(0,s.jsx)(o.a,{href:"#authentication",children:"configured authentication for your MCP server"}),", fill out the following additional fields:"]}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Transport Type"}),": Select ",(0,s.jsx)(o.strong,{children:"STDIO"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Command"}),": ",(0,s.jsx)(o.code,{children:"uvx"})]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Arguments"}),": Enter the following list of arguments, separated by spaces. Replace the values for ",(0,s.jsx)(o.code,{children:"YOUR_API_KEY"}),", ",(0,s.jsx)(o.code,{children:"LANGFLOW_SERVER_ADDRESS"}),", and ",(0,s.jsx)(o.code,{children:"PROJECT_ID"})," with the values from your Langflow MCP server. For example:"]}),"\n"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"mcp-proxy ",props:{style:{color:"#FFA657"}}},{content:"--headers ",props:{style:{color:"#79C0FF"}}},{content:"x-api-key YOUR_API_KEY http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Click ",(0,s.jsx)(o.strong,{children:"Connect"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["If the connection was successful, you should see your project's flows in the ",(0,s.jsx)(o.strong,{children:"Tools"})," tab.\nFrom this tab, you can monitor how your flows are being registered as tools by MCP, as well as test the tools with custom input values."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To quit MCP Inspector, press ",(0,s.jsx)("kbd",{children:"Control+C"})," in the same terminal window where you started it."]}),"\n"]}),"\n"]}),"\n","\n",(0,s.jsx)(o.h2,{id:"deploy-your-server-externally",children:"Deploy your MCP server externally"}),"\n",(0,s.jsxs)(o.p,{children:["By default, Langflow isn't exposed to the public internet.\nHowever, you can forward Langflow server traffic with a forwarding platform like ",(0,s.jsx)(o.a,{href:"https://ngrok.com/docs/getting-started/",children:"ngrok"})," or ",(0,s.jsx)(o.a,{href:"https://docs.zrok.io/docs/getting-started",children:"zrok"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["The following procedure uses ngrok, but you can use any similar reverse proxy or forwarding platform.\nThis procedure also assumes that you're using the default Langflow listening address ",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7860"})," (",(0,s.jsx)(o.code,{children:"http://127.0.0.1:7868"})," if using Langflow for Desktop)."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Sign up for an ",(0,s.jsx)(o.a,{href:"https://dashboard.ngrok.com/signup",children:"ngrok account"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.a,{href:"https://ngrok.com/docs/getting-started/#1-install-ngrok",children:"Install ngrok"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Copy your ",(0,s.jsx)(o.a,{href:"https://dashboard.ngrok.com/get-started/your-authtoken",children:"ngrok authtoken"})," and use it to authenticate your local ngrok server:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ngrok ",props:{style:{color:"#FFA657"}}},{content:"config add-authtoken NGROK_TOKEN",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Replace ",(0,s.jsx)(o.code,{children:"NGROK_TOKEN"})," with your ngrok authtoken."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"Use ngrok to expose your Langflow server to the public internet:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ngrok ",props:{style:{color:"#FFA657"}}},{content:"http http://localhost:",props:{style:{color:"#A5D6FF"}}},{content:"7860",props:{style:{color:"#79C0FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["The ngrok session starts in your terminal and deploys an ephemeral domain with no authentication.\nTo add authentication or deploy a static domain, see the ",(0,s.jsx)(o.a,{href:"https://ngrok.com/docs/",children:"ngrok documentation"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.code,{children:"Forwarding"})," row displays the forwarding address for your Langflow server:"]}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Forwarding https://94b1-76-64-171-14.ngrok-free.app -> http://localhost:7860",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(o.p,{children:"The forwarding address is acting as a reverse proxy for your Langflow server."}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["From the Langflow dashboard, select the project that contains the flows you want to serve as tools, and then click the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab."]}),"\n",(0,s.jsx)(o.p,{children:"Note that the code template now contains your ngrok forwarding address instead of the localhost address:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:' "https://94b1-73-64-171-14.ngrok-free.app/api/v1/mcp/project/fdbc12af-0dd4-43dc-b9ce-c324d1ce5cd1/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:" ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:" }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Complete the steps in ",(0,s.jsx)(o.a,{href:"#connect-clients-to-use-the-servers-actions",children:"Connect clients to Langflow's MCP server"})," using the ngrok forwarding address."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.p,{children:"Your MCP client is now connected to your project's MCP server over the public internet."}),"\n",(0,s.jsx)(o.p,{children:"If using Cursor, your conversations are the same as they are on your local host:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{}}]},{tokens:[{content:' "input_value": "What job experience does Emily have?"',props:{}}]},{tokens:[{content:"}",props:{}}]},{tokens:[{content:"Result:",props:{}}]},{tokens:[{content:"What job experience does Emily have?",props:{}}]},{tokens:[{content:"Emily J. Wilson has the following job experience:",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(o.p,{children:"You can use the ngrok console output to monitor requests for your project's endpoint:"}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"16:35:48.566 EDT GET /api/v1/mcp/project/fdbc12af-0dd4-43dc-b9ce-c324d1ce5cd1 200 OK",props:{}}]}],lang:"text"},annotations:[]}]})]})}function x(e={}){const{wrapper:o}={...(0,r.R)(),...e.components};return o?(0,s.jsx)(o,{...e,children:(0,s.jsx)(f,{...e})}):f(e)}function g(e,o){throw new Error("Expected "+(o?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},79329:(e,o,n)=>{n.d(o,{A:()=>c});n(96540);var t=n(18215);const s={tabItem:"tabItem_Ymn6"};var r=n(74848);function 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b/components-bundle-components.html @@ -21,7 +21,7 @@ - + diff --git a/components-custom-components.html b/components-custom-components.html index e6c691e630..f77f75b95a 100644 --- a/components-custom-components.html +++ b/components-custom-components.html @@ -21,7 +21,7 @@ - + diff --git a/components-data.html b/components-data.html index 09288e46e9..d503e525c7 100644 --- a/components-data.html +++ b/components-data.html @@ -21,7 +21,7 @@ - + diff --git a/components-embedding-models.html b/components-embedding-models.html index 29ef4901df..3ae1477174 100644 --- a/components-embedding-models.html +++ b/components-embedding-models.html @@ -21,7 +21,7 @@ - + diff --git a/components-helpers.html b/components-helpers.html index 1ae8ee833c..dbe573368e 100644 --- a/components-helpers.html +++ b/components-helpers.html @@ -21,7 +21,7 @@ - + diff --git a/components-io.html b/components-io.html index 1d3b2dd452..afc14b1281 100644 --- a/components-io.html +++ b/components-io.html @@ -21,7 +21,7 @@ - + diff --git a/components-loaders.html b/components-loaders.html index 794bf2abb7..2f1453c755 100644 --- a/components-loaders.html +++ b/components-loaders.html @@ -21,7 +21,7 @@ - + diff --git a/components-logic.html b/components-logic.html index 600c3ea97a..5c8f989e17 100644 --- a/components-logic.html +++ b/components-logic.html @@ -21,7 +21,7 @@ - + diff --git a/components-memories.html b/components-memories.html index bc2c6bb0e7..511c1267b2 100644 --- a/components-memories.html +++ b/components-memories.html @@ -21,7 +21,7 @@ - + diff --git a/components-models.html b/components-models.html index e37b789d20..0d2a89d55e 100644 --- a/components-models.html +++ b/components-models.html @@ -21,7 +21,7 @@ - + diff --git a/components-processing.html b/components-processing.html index 9fab379a52..c734897a51 100644 --- a/components-processing.html +++ b/components-processing.html @@ -21,7 +21,7 @@ - + diff --git a/components-prompts.html b/components-prompts.html index 7960fb40a2..6ac3bfc505 100644 --- a/components-prompts.html +++ b/components-prompts.html @@ -21,7 +21,7 @@ - + diff --git a/components-tools.html b/components-tools.html index 19943c1308..2a5117585d 100644 --- a/components-tools.html +++ b/components-tools.html @@ -21,7 +21,7 @@ - + @@ -104,16 +104,16 @@ The Agent uses the Astra DB Tool to return information about yo

Google Serper API​

This component allows you to call the Serper.dev Google Search API.

Parameters

Inputs

NameTypeDescription
serper_api_keySecretStringAn API key for Serper.dev authentication.
input_valueStringThe search query input.
kIntegerThe number of search results to return.

Outputs

NameTypeDescription
resultsList[Data]A list of search results.
toolToolA Google Serper search tool for use in LangChain.
-

MCP server​

-

This component connects to a Model Context Protocol (MCP) server and exposes the MCP server's tools as tools for Langflow agents.

-

In addition to being an MCP client that can leverage MCP servers, the MCP component's SSE mode allows you to connect your flow to the Langflow MCP server at the /api/v1/mcp/sse API endpoint, exposing all flows within your project as tools within a flow.

-

To use the MCP server component with an agent component, follow these steps:

+

MCP connection​

+

The MCP connection component connects to a Model Context Protocol (MCP) server and exposes the MCP server's tools as tools for Langflow agents.

+

In addition to being an MCP client that can leverage MCP servers, the MCP connection component's SSE mode allows you to connect your flow to the Langflow MCP server at the /api/v1/mcp/sse API endpoint, exposing all flows within your project as tools within a flow.

+

To use the MCP connection component with an agent component, follow these steps:

  1. -

    Add the MCP server component to your workflow.

    +

    Add the MCP connection component to your workflow.

  2. -

    In the MCP server component, in the MCP Command field, enter the command to start your MCP server. For example, to start a Fetch server, the command is:

    +

    In the MCP connection component, in the MCP Command field, enter the command to start your MCP server. For example, to start a Fetch server, the command is:


    _10
    uvx mcp-server-fetch

    uvx is included with uv in the Langflow package. To use npx server commands, you must first install an LTS release of Node.js. @@ -133,10 +133,10 @@ The available fields change based on the selected tool. For information on the parameters, see the MCP server's documentation.

  3. -

    In the MCP server component, enable Tool mode. -Connect the MCP server component's Toolset port to an Agent component's Tools port.

    +

    In the MCP connection component, enable Tool mode. +Connect the MCP connection component's Toolset port to an Agent component's Tools port.

    The flow looks similar to this: -MCP server component

    +MCP connection component

  4. Open the Playground. @@ -150,16 +150,16 @@ This confirms the MCP server is connected, and its tools are being used in Langf

    The MCP component's SSE mode connects your flow to the Langflow MCP server through the component. This allows you to use all flows within your project as tools within a flow.

      -
    1. In the MCP Server component, select SSE. +
    2. In the MCP connection component, select SSE. A default address appears in the MCP SSE URL field.
    3. In the MCP SSE URL field, modify the default address to point at the SSE endpoint of the Langflow server you're currently running. The default value is http://localhost:7860/api/v1/mcp/sse.
      4. -
    4. In the MCP Server component, click to retrieve the server's list of Tools.
      5. +
    5. In the MCP connection component, click to retrieve the server's list of Tools.
    6. Click the Tools field. All of your flows are listed as tools.
      7. -
    7. Enable Tool Mode, and then connect the MCP Server component to an agent component's tool port. +
    8. Enable Tool Mode, and then connect the MCP connection component to an agent component's tool port. The flow looks like this: -MCP server component
      9. +MCP component with SSE mode enabled
    9. Open the Playground and chat with your tool. The agent chooses the correct tool based on your query.
    @@ -199,10 +199,10 @@ The agent chooses the correct tool based on your query.

    5. Deprecated components have been replaced by newer alternatives and should not be used in new projects.

    MCP Tools (stdio)​

    important

    This component is deprecated as of Langflow version 1.3. -Instead, use the MCP server component

    +Instead, use the MCP connection component

    MCP Tools (SSE)​

    important

    This component is deprecated as of Langflow version 1.3. -Instead, use the MCP server component