langchain-mcp-tools-py and langchain-mcp-client

One project is a conversion utility to help integrate MCP tools into LangChain, while the other is a client library specifically for interacting with the LangChain Model Context Protocol (MCP), making them ecosystem siblings where one facilitates integration of tools into the other's context, and the other provides the core client for that context.

langchain-mcp-tools-py
59
Established
langchain-mcp-client
47
Emerging
Maintenance 10/25
Adoption 7/25
Maturity 25/25
Community 17/25
Maintenance 2/25
Adoption 5/25
Maturity 25/25
Community 15/25
Stars: 26
Forks: 10
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 10
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No risk flags
Stale 6m

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

About langchain-mcp-client

datalayer/langchain-mcp-client

🦜🔗 LangChain Model Context Protocol (MCP) Client

This client helps developers integrate external tools and services, defined by the Model Context Protocol (MCP), into their LangChain applications. It takes in MCP server configurations and API keys, and outputs a seamless way for LangChain agents to access and use those external tools. Developers building sophisticated AI applications that require interaction with specialized services will find this useful.

AI-application-development LangChain-integration LLM-tooling backend-integration

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