MCP Tool Langgraph Integration

What is MCP Tool Langgraph Integration?

MCP Tool Langgraph Integration is an example project that demonstrates how to integrate MCP endpoint tools into a Langgraph tool node, consisting of two nodes: agent and tool.

How to use MCP Tool Langgraph Integration?

To use this project, ensure you have Python 3.11 installed. You can run the project from the source using the command uv run mcp_langgraph_tools after setting up the necessary API keys in a .env file.

Key features of MCP Tool Langgraph Integration?

• Integration of MCP tools with Langgraph.
• Simple setup with Python 3.11.
• Support for Brave Search tools through the MCP Server.

Use cases of MCP Tool Langgraph Integration?

1. Integrating AI tools into applications using Langgraph.
2. Building custom agent-tool interactions for various applications.
3. Utilizing Brave Search tools in conjunction with AI models.

FAQ from MCP Tool Langgraph Integration?

• What are the prerequisites for using this project?

You need Python 3.11, and it's recommended to use the uv package for running the project.

• How do I obtain the necessary API keys?

You can get a free API key for Brave Search from https://brave.com/search/api/ and you will need an API key for the AI provider, which can be set in the .env file.

• Is this project open for contributions?

Yes! Contributions are welcome, and you can submit a Pull Request.