langchain-mcp-adapters and lc2mcp

One tool provides official LangChain integrations with the MCP ecosystem, while the other offers a utility to convert existing LangChain tools for use with FastMCP, making them complements that facilitate broader LangChain compatibility within the MCP ecosystem.

lc2mcp
47
Emerging
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 8/25
Maturity 11/25
Community 18/25
Stars: 3,411
Forks: 379
Downloads:
Commits (30d): 21
Language: Python
License: MIT
Stars: 69
Forks: 15
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
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 lc2mcp

xiaotonng/lc2mcp

Convert LangChain tools to FastMCP tools

This helps AI application developers quickly make their existing LangChain tools available to AI clients like Claude or Cursor. It takes your functions written for LangChain and converts them into a format that can be served by a FastMCP server. This enables developers to expose powerful capabilities like search or database queries directly to AI chatbots and agents.

AI-application-development tool-integration chatbot-development agent-frameworks workflow-automation

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