langchain-mcp
@rectalogic
关于 langchain-mcp
Model Context Protocol tool support for LangChain
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"langchain-mcp": {
"command": "uv",
"args": [
"run",
"tests/demo.py",
"Read and summarize the file ./LICENSE"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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
MCPToolkitclass for session management - Automatically converts MCP tools into
BaseToolobjects - 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?
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