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

The Python utility converts MCP tools for LangChain use, while the TypeScript example demonstrates how to integrate and use those converted tools within a LangChain ReAct agent.

Maintenance 10/25
Adoption 7/25
Maturity 25/25
Community 17/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 14/25
Stars: 26
Forks: 10
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 11
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
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-ts-usage

hideya/langchain-mcp-tools-ts-usage

MCP Tools Usage From LangChain ReAct Agent / Example in TypeScript

This tool helps developers integrate various external services, or "tools," defined by the Model Context Protocol (MCP) into their LangChain-based applications. It takes definitions from multiple MCP servers and converts them into a format LangChain agents can use, handling compatibility issues between different large language model providers. This is designed for software developers building applications that use LangChain and need to interact with external MCP-compatible services.

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

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