langchain-mcp-adapters and mcp-langgraph

These are complements: the official LangChain MCP adapters provide the integration layer enabling LangChain/LangGraph applications to connect to MCP servers, while the tutorial demonstrates a practical example of building a LangGraph agent that uses those adapters with MCP servers.

mcp-langgraph
28
Experimental
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 15/25
Stars: 3,411
Forks: 379
Downloads:
Commits (30d): 21
Language: Python
License: MIT
Stars: 12
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License:
No risk flags
No License Stale 6m No Package No Dependents

About langchain-mcp-adapters

langchain-ai/langchain-mcp-adapters

LangChain 🔌 MCP

This project helps AI developers integrate external capabilities, like custom calculators or data lookups, into their LangChain or LangGraph AI agents. It takes existing 'Model Context Protocol' (MCP) tools, which are essentially specialized functions, and makes them accessible to the AI agent. The result is an AI agent that can perform a wider range of tasks by using these external tools.

AI development LLM integration tool orchestration agent workflow external service connection

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.

AI-agent-development custom-tool-integration LangGraph-development AI-application-scaffolding backend-AI-tools

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