MCP to LangChain/LangGraph Adapter

@SDCalvo

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

SDCalvo

关于 MCP to LangChain/LangGraph Adapter

Addapter that turns MCP server tools into langchain usable tools

#mcp #langchain #adapter

MCP to LangChain/LangGraph Adapter 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP to LangChain/LangGraph Adapter 工具

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。

概览

What is MCP to LangChain/LangGraph Adapter?

It bridges MCP (Multi‑modal Conversational Procedure) servers and LangChain/LangGraph frameworks, converting MCP tools into LangChain‑compatible tools for use in agents, chains, and graph‑based AI applications.

How to use MCP to LangChain/LangGraph Adapter?

Install the required Python packages (mcp, langchain, langchain‑openai, langgraph, python‑dotenv). Create an MCP server script (e.g., simple_server.py), then instantiate MCPAdapter with the script path. Call get_tools() to retrieve LangChain tools and integrate them into LangChain agents or LangGraph react agents.

Key features of MCP to LangChain/LangGraph Adapter

Connects to any MCP server via stdio transport.
Automatically discovers and converts MCP tools to LangChain BaseTool.
Supports both LangChain agents and LangGraph react agents.
Manages conversation history with LangGraph memory checkpoints.
Allows custom environment variables per server process.

Use cases of MCP to LangChain/LangGraph Adapter

Adding MCP‑exposed tools (e.g., math, weather) to an LLM agent.
Building conversational agents in LangGraph with persistent state.
Wrapping legacy or custom tools as MCP servers for LangChain pipelines.

常见问题

What are the required dependencies?

You need `mcp`, `langchain`, `langchain‑openai`, `langgraph`, and `python‑dotenv` installed via pip or pipenv.

How do I connect to an MCP server?

Provide the path to the MCP server script to `MCPAdapter`; the adapter launches and manages the server process automatically over stdio.

Do I need an API key?

The adapter itself requires no API key. To use OpenAI models in examples, set an `OPENAI_API_KEY` in a `.env` file or environment.

What transport does the adapter use?

The provided examples use stdio transport. Other transports are not documented in the README.

How can I debug connection issues?

Add logging to your MCP server script with `logging.basicConfig` to capture debug output to a file and stream.

AI 与智能体分类下的更多 MCP 服务器

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148

Legion MCP

faulkj

MCP-native LLM councils for debates, juries, blind panels, voting, refinement, and custom multi-model deliberation.

CrawlForge MCP Server

mysleekdesigns

28-tool MCP server for web scraping, crawling, deep research & autonomous extraction — clean Markdown & structured JSON for Claude, Cursor & any MCP client. 1,000 free one-time credits, local-Ollama LLM support.

AskOne: Live Q&A and Polls

phuryn

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the resu

Factanker

FACTANKER serves 1.18B+ evidence-backed facts about US companies, banks, nonprofits and federal spending, sourced from SEC EDGAR, FFIEC call reports, IRS 990 filings and USAspending. Every value carries its evidence: fil