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

The LangChain MCP adapters library provides the integration infrastructure that the TypeScript example demonstrates in practical use, making them complements rather than competitors.

Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 14/25
Stars: 3,411
Forks: 379
Downloads:
Commits (30d): 21
Language: Python
License: MIT
Stars: 11
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
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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-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

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