langchain-mcp-adapters and langgraph-mcp

These are complements: the adapter library provides the foundational integration layer for connecting MCP servers to LangChain, while the agent template demonstrates how to build autonomous agents that utilize those MCP-connected tools within LangGraph's agentic framework.

langgraph-mcp
32
Emerging
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 17/25
Stars: 3,411
Forks: 379
Downloads:
Commits (30d): 21
Language: Python
License: MIT
Stars: 32
Forks: 10
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 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.

AI-development LLM-integration AI-tools API-integration AI-agent-development

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