Connects LangChain and LangGraph agents to a FastMCP server to utilize external tools and maintain conversational state.
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This project provides a robust integration of an MCP server with a sophisticated LangChain and LangGraph client, enabling powerful LLM-driven applications. The client, built on FastAPI, leverages a State Graph to manage conversational flow and maintain memory for agents, similar to leading AI chatbots. It employs a ReAct agent for intelligent reasoning, allowing it to dynamically select and utilize tools provided by the FastMCP server to fulfill complex user requests and deliver precise responses.
主要功能
01LangChain and LangGraph Integration
02State Graph for Conversational Flow Management
03Thread-based Conversational Memory
04ReAct Agent Implementation for Tool Orchestration
05FastMCP Server Backend for Tool Provisioning
062 GitHub stars
使用案例
01Building conversational AI agents with persistent memory
02Developing LLM applications that interact with external systems via tools
03Automating complex multi-step tasks through intelligent agent reasoning