langchain-mcp-tools-py and langchain-mcp-tools-py-usage

The first tool is a utility that converts MCP tools to LangChain tools, and the second is an example demonstrating how to use those converted tools from a LangChain ReAct agent, making them complements within the LangChain ecosystem.

Maintenance 10/25
Adoption 7/25
Maturity 25/25
Community 17/25
Maintenance 10/25
Adoption 4/25
Maturity 16/25
Community 15/25
Stars: 26
Forks: 10
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 6
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
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No Package No Dependents

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-tools-py-usage

hideya/langchain-mcp-tools-py-usage

MCP Tools Usage From LangChain ReAct Agent / Example in Python

This is a basic example for Python developers working with LangChain. It demonstrates how to connect your LangChain ReAct agent to external Model Context Protocol (MCP) servers. You provide the MCP server endpoints and an LLM API key, and it shows how to use the tools exposed by those servers within your LangChain application.

LangChain development LLM application development agent tool integration Model Context Protocol Python development

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