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.
@rectalogic
基本信息
Model Context Protocol tool support for LangChain
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"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
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.
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.
MCPToolkit class for session managementBaseTool objectsClientSessionNo. LangChain now has a more official implementation called `langchain-mcp-adapters`. This repository is a community alternative.
It requires Python and can be installed via PyPI as `langchain-mcp`. The demo also uses the `uv` tool for running.
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.
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