MCP 神器！MCP-USE 一键部署连接任何 MCP 服务器

# 基础安装pip install mcp-use
# 安装 LLM 提供商依赖pip install langchain-openai  # OpenAIpip install langchain-anthropic  # Anthropic
# 安装沙盒支持（可选）pip install "mcp-use[e2b]"

import asynciofrom dotenv import load_dotenvfrom langchain_openai import ChatOpenAIfrom mcp_use import MCPAgent, MCPClient
async def main():    load_dotenv()        # 配置 MCP 服务器    config = {        "mcpServers": {            "playwright": {                "command": "npx",                "args": ["@playwright/mcp@latest"],                "env": {"DISPLAY": ":1"}            }        }    }        # 创建客户端和智能体    client = MCPClient.from_dict(config)    llm = ChatOpenAI(model="gpt-4o")    agent = MCPAgent(llm=llm, client=client, max_steps=30)        # 执行任务    result = await agent.run(        "上海有哪些美食"    )    print(f"结果: {result}")
if __name__ == "__main__":    asyncio.run(main())

{  "mcpServers": {    "playwright": {      "command": "npx",      "args": ["@playwright/mcp@latest"],      "env": {        "DISPLAY": ":1"      }    },    "airbnb": {      "command": "npx",      "args": ["-y", "@openbnb/mcp-server-airbnb"]    }  }}

client = MCPClient.from_config_file("mcp-config.json")

async for chunk in agent.astream("山西哪里好玩？"):    print(chunk["messages"], end="", flush=True)

# 限制智能体可使用的工具agent = MCPAgent(    llm=llm,    client=client,    disallowed_tools=["get_Personal",]  # 禁用一些工具调用)

#在代码中设置import mcp_usemcp_use.set_debug(2)  # 启用详细调试信息