langchain-mcp-adapters and langchain-mcp-tools-py

These are complements that serve different integration depths: the official LangChain adapter provides native MCP protocol support within LangChain's core framework, while the third-party utility offers a lighter-weight conversion layer specifically for wrapping MCP servers as LangChain tool objects.

langchain-mcp-tools-py
59
Established
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 7/25
Maturity 25/25
Community 17/25
Stars: 3,411
Forks: 379
Downloads:
Commits (30d): 21
Language: Python
License: MIT
Stars: 26
Forks: 10
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags

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 langchain-mcp-tools-py

hideya/langchain-mcp-tools-py

MCP to LangChain Tools Conversion Utility / Python

This is a utility for developers building AI applications with LangChain. It helps connect a wide array of external tools and resources, such as databases, cloud storage, or GitHub, that follow the Model Context Protocol (MCP) into your LangChain-based agents. You provide configurations for your MCP servers, and it outputs ready-to-use LangChain tools.

AI application development LLM tool integration LangChain development agent development external data integration

Scores updated daily from GitHub, PyPI, and npm data. How scores work