About Easy MCP Langchain
Easy MCP Langchain is an MCP server published by Annyfee in the AI category: a lightweight framework to connect MCP tools to LangChain agents. It has been installed 0 times through Conduid.
Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
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npx easy-mcp-langchainThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
🚀 Easy MCP — 让 MCP 工具像本地函数一样简单
一行代码集成任意 MCP 服务 自动管理子进程生命周期 · 零配置接入 LangChain / LangGraph Agent
✨ 特性
- ✅ 自动资源管理:无需手动启动/关闭 MCP 服务
- ✅ 零侵入集成:返回标准 LangChain Tool 列表
- ✅ 多服务支持:高德地图、天气、数据库 MCP 一次性接入
- ✅ 生产可用:异常安全、子进程隔离、异步非阻塞
🚀 快速开始
1. 安装
pip install easy-mcp
2. 🧪「5 行代码」调用高德地图 MCP
from src.easy_mcp import MCPToolLoader
import asyncio
async def main():
async with MCPToolLoader([{
"command": "npx",
"args": ["-y", "@amap/amap-maps-mcp-server"],
"env": {"AMAP_MAPS_API_KEY": "你的密钥"}
}]) as tools:
search = next(t for t in tools if t.name == "maps_text_search")
print(await search.ainvoke({"keywords": "西湖", "city": "杭州"}))
asyncio.run(main())
输出示例
{
"pois": [
{"name": "杭州西湖", "location": "120.1551,30.2741", ...}
]
}
🤖 构建 MCP-Powered Agent
from langgraph.graph import StateGraph
from src.easy_mcp import MCPToolLoader
async with MCPToolLoader([高德配置]) as tools:
graph = StateGraph(MessagesState)
graph.add_node("agent", create_agent_node(tools))
# ... 添加更多工具结点 ...
app = graph.compile()
await app.ainvoke({"messages": [("user", "西湖附近有什么酒店?")]})
👉 查看完整示例:examples/full_agent_demo.py
🔧 支持的 MCP 服务
| 服务 | 安装命令 | 必需环境变量 |
|---|---|---|
| 高德地图 | npx @amap/amap-maps-mcp-server |
AMAP_MAPS_API_KEY |
| 天气 API | npx @weather/mcp-server |
WEATHER_API_KEY |
| 自定义 MCP | 任意符合 MCP 协议的进程 | - |
📂 项目结构
easy-mcp/
├── examples/
│ ├── quickstart.py # 5 行上手示例
│ └── full_agent_demo.py # 完整 LangGraph Agent 示例
├── src/easy_mcp/
│ ├── __init__.py # 导出 MCPToolLoader
│ ├── bridge.py # MCP ↔ LangChain 适配器
│ └── client.py # MCP 客户端封装
└── README.md
❓ 常见问题(FAQ)
Q: 如何添加新的 MCP 服务?
只需在 MCPToolLoader([...]) 的列表中添加一个新的配置:
{
"command": "python",
"args": ["my_mcp_server.py"],
"env": {"API_KEY": "..."}
}
Q: 子进程会残留吗?
不会。 MCPToolLoader 使用 AsyncExitStack 和自动回收机制保证:
- MCP 子进程 100% 自动退出
- 不留下僵尸进程
- 异常情况下仍可安全清理
README mirrored from the source repository 3 months ago. The original is authoritative.