e277b4b1cb
* fix: migrate orphaned MCP servers config across DB resets
When Langflow restarts with a fresh database but the same LANGFLOW_CONFIG_DIR
(common in containerized deployments without a persisted DB volume), the
default superuser is recreated with a new UUID and the previously saved
_mcp_servers_{old_uuid}.json files become unreachable.
On default-superuser creation in AUTO_LOGIN mode, scan the config directory
for orphaned _mcp_servers_*.json files under prior UUID folders and migrate
the most recently modified one to the new user (copy contents + register a
UserFile row). Never overwrites an existing file and is a no-op when no
orphan is found; failures are swallowed so migration cannot block startup.
Fixes langflow-ai/langflow#9524
* fix: address review feedback on MCP orphan migration
- Refuse to migrate when multiple orphan candidates are present. MCP server
entries can contain env/headers auth material, so silently picking the
newest orphan could import an unrelated user's config. Operators get a
warning with candidate paths for manual recovery.
- Self-heal missing DB rows when the current user's MCP config file already
exists on disk (e.g. from a previous migration that crashed before commit)
instead of returning early and leaving the config invisible.
- Add regression tests for the multi-orphan skip path, self-heal path, and
"DB row already present" short-circuit.
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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Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.
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Install locally (recommended)
Requires Python 3.10–3.13 and uv (recommended package manager).
Install
From a fresh directory, run:
uv pip install langflow -U
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To start Langflow, run:
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If you've cloned this repository and want to contribute, run this command from the repository root:
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Start a Langflow container with default settings:
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