81196ceabd
* fix: validate uploaded MCP servers config to close command-injection path The `_mcp_servers_<uid>.json` file-upload path stored the raw uploaded bytes as the user's MCP servers config without validation. Those `command`/`args` are later spawned via the MCP stdio transport, so an authenticated user could upload a config with an arbitrary command and have it executed on the server — bypassing the command allow-list that the structured `/api/v2/mcp/servers` endpoints already enforce via `MCPServerConfig` (CWE-77 / CWE-94). This wires the same `MCPServerConfig` validation into the file-upload branch: the uploaded JSON must be an object with an `mcpServers` map, and every entry is validated against the allow-list before anything is written to storage. The file is rewound so the subsequent save re-reads the original bytes. Adds a regression test asserting a disallowed command is rejected with 422 and nothing is persisted, and updates the existing replace test to use an allow-listed command. * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Update test_mcp_servers_file.py * test: cover MCP config validator reject branches + close upload lock bypass Address review on the MCP-config-upload validation fix: - Enforce the MCP-servers lock on the /api/v2/files upload path. The structured /api/v2/mcp/servers endpoints 403 non-superuser writes when mcp_servers_locked is on, but the upload branch writes the same _mcp_servers_<uid>.json that get_server_list reads, so without the same guard a non-superuser could replace their MCP config while locked. - Pin the validator's own reject branches: invalid-JSON (422) and a non-object 'mcpServers' value (422), neither persisting anything. - Add lock-guard coverage: blocked for a locked non-superuser (403), still allowed for a superuser. * test: update MCP upload replacement fixture --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual builder interface to quickly get started and iterate.
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Requires Python 3.10–3.14 and uv (recommended package manager).
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From a fresh directory, run:
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