mcp server

mcp-langgraph-tools

MCP Tools Langraph Integration

Set up

Runs on your computer. Pick your agent and operating system.

Before you start

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-langgraph-tools": {
      "command": "uvx",
      "args": [
        "mcp_langgraph_tools"
      ]
    }
  }
}

same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12

Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs

synced Oct 17, 2026

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

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

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

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

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

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.

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.

uv run mcp_langgraph_tools

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

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

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