langchain-mcp-adapters and langchain-mcp-tools-ts

These are complements with overlapping scope: both bridge MCP servers to LangChain tools, but the official LangChain adapter (A) is a production-grade Python implementation while the TypeScript utility (B) targets developers needing MCP-to-LangChain conversion in a Node.js environment, making them useful together depending on your runtime and integration depth needs.

Maintenance 17/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 6/25
Maturity 16/25
Community 17/25
Stars: 3,411
Forks: 379
Downloads:
Commits (30d): 16
Language: Python
License: MIT
Stars: 22
Forks: 8
Downloads:
Commits (30d): 0
Language: TypeScript
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 langchain-mcp-tools-ts

hideya/langchain-mcp-tools-ts

MCP to LangChain Tools Conversion Utility / TypeScript

This tool helps TypeScript/JavaScript developers integrate external services and data sources into their AI applications built with LangChain. It takes configuration details for various Model Context Protocol (MCP) servers and converts their available functionalities into a format LangChain can understand. The output is a set of usable tools for your large language model, enabling it to interact with databases, cloud storage, GitHub, and more.

AI-application-development LangChain-integration external-API-connection LLM-tooling backend-development

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