Langgraph Tools
This MCP implementation, developed by Paul Robello, integrates MCP endpoint tools into a Langgraph tool node. Built with Python and leveraging libraries like langchain, langgraph, and mcp, it creates a simple two-node graph consisting of an agent and a tool node. The implementation focuses on demonstrating how to incorporate MCP tools, particularly Brave Search, into an AI workflow. It supports various AI providers, defaulting to Anthropic but allowing easy switching. This setup is ideal for developers looking to experiment with combining MCP tools and language models in a graph-based structure, enabling more complex AI-driven tasks and workflows.
