mcp-运行-python

MCP 运行 Python

模型上下文协议服务器在沙箱中运行 Python 代码。

该代码使用Deno中的Pyodide执行，因此与操作系统的其余部分隔离。

请参阅https://ai.pydantic.dev/mcp/run-python/以获取完整文档。

可以使用以下命令安装deno来运行服务器：

deno run \
  -N -R=node_modules -W=node_modules --node-modules-dir=auto \
  jsr:@pydantic/mcp-run-python [stdio|sse|warmup]

在哪里：

-N -R=node_modules -W=node_modules （ --allow-net --allow-read=node_modules --allow-write=node_modules的别名）允许网络访问以及对./node_modules的读写访问。这些是 pyodide 下载和缓存 Python 标准库和软件包所必需的。
--node-modules-dir=auto告诉 deno 使用本地node_modules目录
stdio使用Stdio MCP 传输运行服务器 - 适合在本地将进程作为子进程运行
sse使用SSE MCP 传输运行服务器 — 将服务器作为 HTTP 服务器运行，以便进行本地或远程连接
warmup将运行一个精简的 Python 脚本来下载并缓存 Python 标准库。这对于检查服务器是否正常运行也很有用。

以下是使用@pydantic/mcp-run-python与 PydanticAI 的示例：

from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStdio

import logfire

logfire.configure()
logfire.instrument_mcp()
logfire.instrument_pydantic_ai()

server = MCPServerStdio('deno',
    args=[
        'run',
        '-N',
        '-R=node_modules',
        '-W=node_modules',
        '--node-modules-dir=auto',
        'jsr:@pydantic/mcp-run-python',
        'stdio',
    ])
agent = Agent('claude-3-5-haiku-latest', mcp_servers=[server])


async def main():
    async with agent.run_mcp_servers():
        result = await agent.run('How many days between 2000-01-01 and 2025-03-18?')
    print(result.output)
    #> There are 9,208 days between January 1, 2000, and March 18, 2025.w

if __name__ == '__main__':
    import asyncio
    asyncio.run(main())

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

模型上下文协议服务器在沙箱中运行 Python 代码。

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