langchain-mcp-adapters and mcp-client-langchain-ts

These are complements: the official LangChain adapter provides the integration layer for LangChain agents to use MCP servers, while the TypeScript implementation builds a concrete ReAct agent CLI on top of that adapter.

Maintenance 17/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 15/25
Stars: 3,411
Forks: 379
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Commits (30d): 16
Language: Python
License: MIT
Stars: 13
Forks: 4
Downloads:
Commits (30d): 0
Language: JavaScript
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 mcp-client-langchain-ts

hideya/mcp-client-langchain-ts

Simple MCP Client CLI Implementation Using LangChain ReAct Agent / TypeScript

This is a command-line tool for developers who work with AI models and want to quickly test and explore Model Context Protocol (MCP) servers. It takes your configuration for MCP servers and LLMs, letting you interact with these servers using text-based commands and receive text-based responses. This is ideal for AI/ML engineers or researchers who are building or integrating with MCP servers.

AI-model-testing LLM-integration server-prototyping developer-tools CLI-development

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