langchain-mcp

@rectalogic

About langchain-mcp

Model Context Protocol tool support for LangChain

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "langchain-mcp": {
      "command": "uv",
      "args": [
        "run",
        "tests/demo.py",
        "Read and summarize the file ./LICENSE"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is langchain-mcp?

langchain-mcp provides Model Context Protocol (MCP) tool calling support within LangChain. It enables LangChain applications to use tools exposed by any MCP server by wrapping them as LangChain BaseTool instances. This is for developers building LangChain-based agents or chains that need to call external tools via the MCP standard.

How to use langchain-mcp?

Create a langchain_mcp.MCPToolkit by passing it an mcp.ClientSession, then call await toolkit.initialize() followed by toolkit.get_tools() to retrieve a list of LangChain BaseTools. The toolkit handles the MCP client‑server lifecycle and tool discovery.

Key features of langchain-mcp

Integrates MCP tool calling into LangChain workflows
Exposes an async MCPToolkit class for session management
Automatically converts MCP tools into BaseTool objects
Works with any MCP server that communicates over a ClientSession

Use cases of langchain-mcp

Adding filesystem, database, or API tools from MCP servers to a LangChain agent
Combining MCP tools with LangChain’s chat models and chains in a unified pipeline

FAQ from langchain-mcp

Is this the official LangChain MCP integration?

No. LangChain now has a more official implementation called langchain-mcp-adapters. This repository is a community alternative.

What does langchain-mcp require?

It requires Python and can be installed via PyPI as langchain-mcp. The demo also uses the uv tool for running.

How do I run the included demo?

Set the GROQ_API_KEY environment variable and execute uv run tests/demo.py "Read and summarize the file ./LICENSE" (or equivalent) against an MCP filesystem server.

Does langchain-mcp support authentication or transport customization?

—

Frequently asked questions

Is this the official LangChain MCP integration?

No. LangChain now has a more official implementation called `langchain-mcp-adapters`. This repository is a community alternative.

What does langchain-mcp require?

It requires Python and can be installed via PyPI as `langchain-mcp`. The demo also uses the `uv` tool for running.

How do I run the included demo?

Set the `GROQ_API_KEY` environment variable and execute `uv run tests/demo.py "Read and summarize the file ./LICENSE"` (or equivalent) against an MCP filesystem server.

Comments

Basic information

More AI & Agents MCP servers

Model Context Protocol for Unreal Engine

chongdashu

Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).

2.0K

Sequential Thinking Multi-Agent System (MAS)

FradSer

An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.

306

🔎 GPT Researcher

assafelovic

An autonomous agent that conducts deep research on any data using any LLM providers

28.1K

🛡️ A.I.G（AI-Infra-Guard）

Tencent

A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

4.1K

Intervals.icu MCP Server

mvilanova

Model Context Protocol (MCP) server for connecting Claude and ChatGPT with the Intervals.icu API.

311