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mcp_langgraph_tools

by paulrobello/mcp_langgraph_tools

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MCP Tools Langraph Integration

pythonnodejsintegrationAPI Integration

MCP Tool Langgraph Integration

Description

Example project of how to integrate MCP endpoint tools into a Langgraph tool node

The graph consists of only 2 nodes, agent and tool.

Prerequisites

To use this project, make sure you have Python 3.11.

uv is recommended

Linux and Mac

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

MCP Server requirements

  • This example uses the MCP Server sample @modelcontextprotocol/server-brave-search to add Brave Search tools. This requires that you have node and npx installed.

API Keys

  • The MCP Server sample used is for Brave Search, you can get a free API key from https://brave.com/search/api/
  • You will need and API key for the chosen AI provider which defaults to Anthropic but can be changed by editing the __main__.py file
  • Put all api keys in a .env file in the repository root.

From source Usage

uv run mcp_langgraph_tools

Multiple MCP servers at one time

Check the multi_server branch for a more advanced example of how to use multiple MCP servers at once.

Whats New

  • Version 0.1.0:
    • Initial release

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Paul Robello - [email protected]

Install

{
  "mcpServers": {
    "mcplanggraphtools": {
      "command": "uv",
      "args": [
        "run",
        "mcp_langgraph_tools"
      ]
    }
  }
}
For more configuration details, refer to the content on the left

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