langgraph-mcp and mcp-langgraph
These are ecosystem siblings—one provides a reusable agent template with MCP integration, while the other is an educational tutorial showing how to adapt LangGraph agents to work with MCP servers, serving different user needs (ready-to-use vs. learning resource) within the same LangGraph-MCP integration space.
About langgraph-mcp
prsdm/langgraph-mcp
LangGraph agent template with MCP.
This project helps AI developers build smarter AI applications by allowing their Large Language Model (LLM) agents to automatically discover and use external tools, data sources, and APIs. You provide an LLM agent, and the project allows it to connect to various 'servers' that offer functionalities like web searches or YouTube video summarization. This is for AI developers who want to make their LLM applications more dynamic and capable.
About mcp-langgraph
hirokiyn/mcp-langgraph
LangGraph agent tutorial adapted to use MCP servers.
This project helps developers integrate custom tools into AI agents powered by LangGraph. It shows how to use your own 'Model Context Protocol' (MCP) servers as agent tools, instead of standard LangChain tools. Developers can use this as a starting point to build sophisticated agents with specific functionalities, like custom math operations or specialized data lookups.
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