MCP全栈框架

pip install mcp-use langchain-openai

import asyncio
from langchain_openai import ChatOpenAI
from mcp_use import MCPAgent, MCPClient

async def main():
    # Configure MCP server
    config = {
        "mcpServers": {
            "filesystem": {
                "command": "npx",
                "args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
            }
        }
    }

    client = MCPClient.from_dict(config)
    llm = ChatOpenAI(model="gpt-4o")
    agent = MCPAgent(llm=llm, client=client)

    result = await agent.run("List all files in the directory")
    print(result)

asyncio.run(main())

npm install mcp-use @langchain/openai

import { ChatOpenAI } from "@langchain/openai";
import { MCPAgent, MCPClient } from "mcp-use";

async function main() {
  // Configure MCP server
  const config = {
    mcpServers: {
      filesystem: {
        command: "npx",
        args: ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"],
      },
    },
  };

  const client = MCPClient.fromDict(config);
  const llm = new ChatOpenAI({ modelName: "gpt-4o" });
  const agent = new MCPAgent({ llm, client });

  const result = await agent.run("List all files in the directory");
  console.log(result);
}

main();

import asyncio
from mcp_use import MCPClient

async def main():
    config = {
        "mcpServers": {
            "calculator": {
                "command": "npx",
                "args": ["-y", "@modelcontextprotocol/server-everything"]
            }
        }
    }

    client = MCPClient.from_dict(config)
    await client.create_all_sessions()

    session = client.get_session("calculator")
    result = await session.call_tool(name="add", arguments={"a": 5, "b": 3})

    print(f"Result: {result.content[0].text}")
    await client.close_all_sessions()

asyncio.run(main())

import { MCPClient } from "mcp-use";

async function main() {
  const config = {
    mcpServers: {
      calculator: {
        command: "npx",
        args: ["-y", "@modelcontextprotocol/server-everything"],
      },
    },
  };

  const client = new MCPClient(config);
  await client.createAllSessions();

  const session = client.getSession("calculator");
  const result = await session.callTool("add", { a: 5, b: 3 });

  console.log(`Result: ${result.content[0].text}`);
  await client.closeAllSessions();
}

main();

npx create-mcp-use-app my-server
cd my-server
npm install

import { createMCPServer } from "mcp-use/server";
import { z } from "zod";

const server = createMCPServer("my-server", {
  version: "1.0.0",
  description: "My custom MCP server",
});

// Define a tool
server.tool("get_weather", {
  description: "Get weather for a city",
  parameters: z.object({
    city: z.string().describe("City name"),
  }),
  execute: async ({ city }) => {
    return { temperature: 72, condition: "sunny", city };
  },
});

// Start server with auto-inspector
server.listen(3000);
// 🎉 Inspector at http://localhost:3000/inspector

server.listen(3000);
// Inspector automatically at: http://localhost:3000/inspector

npx @mcp-use/inspector --url http://localhost:3000/sse

mcp-use/
├── libraries/
│   ├── python/              → Python implementation
│   │   ├── mcp_use/         → Core library
│   │   ├── examples/        → Python examples
│   │   └── docs/            → Python documentation
│   │
│   └── typescript/          → TypeScript implementation
│       └── packages/
│           ├── mcp-use/     → Core framework
│           ├── cli/         → Build tool
│           ├── inspector/   → Web inspector
│           └── create-mcp-use-app/  → Scaffolding
└── README.md               → This file

@software{mcp_use2025,
  author = {Zullo, Pietro and Contributors},
  title = {MCP-Use: Complete MCP Ecosystem for Python and TypeScript},
  year = {2025},
  publisher = {GitHub},
  url = {https://github.com/mcp-use/mcp-use}
}