Langflow MCP Server

MCP Server for interacting with the Langflow API via a natural language interface.

Overview

This server exposes Langflow functionalities as "tools" that can be understood and invoked by a Large Language Model (LLM) through an MCP Client. It allows for programmatic interaction with flows, projects, components, and more.

Project Structure

src/langflowmcp_server/app.py: The main FastMCP application entry point. Manages server lifecycle and session handling.
src/langflowmcp_server/langflow_api_client.py: A dedicated client for all communication with the Langflow REST API.
src/langflowmcp_server/langflow_models.py: Pydantic models for all Langflow API data structures.
src/langflowmcp_server/tools/: Directory containing the tool implementations, organized by functionality (e.g., flows.py, execution.py).

Setup

Clone the repository.
Ensure Python 3.10+ and uv are installed.
Create a virtual environment:
```
uv venv
source .venv/bin/activate
```
Install dependencies:
```
uv pip install -e .
```
Set up your Langflow connection details in a .env file (see .env.example). You will need your Langflow URL and an API key.

Running the Server

You can run the server directly for stdio-based communication:

python -m src.langflowmcp_server.app