[{"_1":2,"_324":-5,"_325":-5},"loaderData",{"_3":4,"_22":23,"_253":254},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"bot","id",19346472,"membership","referenceId","0199f420-7955-7299-8090-ea86aef37824","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_24":25,"_76":-5,"_77":38,"_27":78,"_169":170,"_252":151},"availableLocales",[26,38,44,50,56,62,69],{"_27":28,"_31":35,"_36":37},"mcpServer",{"_29":30,"_31":32,"_33":34},"description","Model Context Protocol-Server zum Ausführen von Python-Code in einer Sandbox.","name","mcp-run-python","readme","# MCP Run Python\n\n[Model Context Protocol](https://modelcontextprotocol.io/) -Server zum Ausführen von Python-Code in einer Sandbox.\n\nDer Code wird mit [Pyodide](https://pyodide.org) in [Deno](https://deno.com/) ausgeführt und ist daher vom Rest des Betriebssystems isoliert.\n\n**Die vollständige Dokumentation finden Sie [unter https://ai.pydantic.dev/mcp/run-python/](https://ai.pydantic.dev/mcp/run-python/) .**\n\nDer Server kann mit installiertem `deno` ausgeführt werden, indem Folgendes verwendet wird:\n\n```bash\ndeno run \\\n -N -R=node_modules -W=node_modules --node-modules-dir=auto \\\n jsr:@pydantic/mcp-run-python [stdio|sse|warmup]\n```\n\nWo:\n\n* `-N -R=node_modules -W=node_modules` (Alias von `--allow-net --allow-read=node_modules --allow-write=node_modules` ) ermöglicht Netzwerkzugriff sowie Lese- und Schreibzugriff auf `./node_modules` . Diese sind erforderlich, damit pyodide die Python-Standardbibliothek und -Pakete herunterladen und zwischenspeichern kann.\n* `--node-modules-dir=auto` weist deno an, ein lokales `node_modules` -Verzeichnis zu verwenden\n* `stdio` führt den Server mit dem [Stdio MCP-Transport](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio) aus – geeignet, um den Prozess lokal als Unterprozess auszuführen\n* `sse` betreibt den Server mit dem [SSE MCP-Transport](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse) – er betreibt den Server als HTTP-Server für lokale oder Remote-Verbindungen\n* `warmup` führt ein minimales Python-Skript aus, um die Python-Standardbibliothek herunterzuladen und zwischenzuspeichern. Dies ist auch nützlich, um zu überprüfen, ob der Server korrekt läuft.\n\nHier ist ein Beispiel für die Verwendung von `@pydantic/mcp-run-python` mit PydanticAI:\n\n```python\nfrom pydantic_ai import Agent\nfrom pydantic_ai.mcp import MCPServerStdio\n\nimport logfire\n\nlogfire.configure()\nlogfire.instrument_mcp()\nlogfire.instrument_pydantic_ai()\n\nserver = MCPServerStdio('deno',\n args=[\n 'run',\n '-N',\n '-R=node_modules',\n '-W=node_modules',\n '--node-modules-dir=auto',\n 'jsr:@pydantic/mcp-run-python',\n 'stdio',\n ])\nagent = Agent('claude-3-5-haiku-latest', mcp_servers=[server])\n\n\nasync def main():\n async with agent.run_mcp_servers():\n result = await agent.run('How many days between 2000-01-01 and 2025-03-18?')\n print(result.output)\n #> There are 9,208 days between January 1, 2000, and March 18, 2025.w\n\nif __name__ == '__main__':\n import asyncio\n asyncio.run(main())\n```","German","tag","de-DE",{"_27":39,"_31":42,"_36":43},{"_29":40,"_31":32,"_33":41},"Model Context Protocol server to run Python code in a sandbox.","# MCP Run Python\n\n[Model Context Protocol](https://modelcontextprotocol.io/) server to run Python code in a sandbox.\n\nThe code is executed using [Pyodide](https://pyodide.org) in [Deno](https://deno.com/) and is therefore isolated from\nthe rest of the operating system.\n\n**See for complete documentation.**\n\nThe server can be run with `deno` installed using:\n\n```bash\ndeno run \\\n -N -R=node_modules -W=node_modules --node-modules-dir=auto \\\n jsr:@pydantic/mcp-run-python [stdio|sse|warmup]\n```\n\nwhere:\n\n- `-N -R=node_modules -W=node_modules` (alias of `--allow-net --allow-read=node_modules --allow-write=node_modules`)\n allows network access and read+write access to `./node_modules`. These are required so pyodide can download and cache\n the Python standard library and packages\n- `--node-modules-dir=auto` tells deno to use a local `node_modules` directory\n- `stdio` runs the server with the\n [Stdio MCP transport](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio) —\n suitable for running the process as a subprocess locally\n- `sse` runs the server with the\n [SSE MCP transport](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse) —\n running the server as an HTTP server to connect locally or remotely\n- `warmup` will run a minimal Python script to download and cache the Python standard library. This is also useful to\n check the server is running correctly.\n\nHere's an example of using `@pydantic/mcp-run-python` with PydanticAI:\n\n```python\nfrom pydantic_ai import Agent\nfrom pydantic_ai.mcp import MCPServerStdio\n\nimport logfire\n\nlogfire.configure()\nlogfire.instrument_mcp()\nlogfire.instrument_pydantic_ai()\n\nserver = MCPServerStdio('deno',\n args=[\n 'run',\n '-N',\n '-R=node_modules',\n '-W=node_modules',\n '--node-modules-dir=auto',\n 'jsr:@pydantic/mcp-run-python',\n 'stdio',\n ])\nagent = Agent('claude-3-5-haiku-latest', mcp_servers=[server])\n\n\nasync def main():\n async with agent.run_mcp_servers():\n result = await agent.run('How many days between 2000-01-01 and 2025-03-18?')\n print(result.output)\n #> There are 9,208 days between January 1, 2000, and March 18, 2025.w\n\nif __name__ == '__main__':\n import asyncio\n asyncio.run(main())\n```\n","English","en-US",{"_27":45,"_31":48,"_36":49},{"_29":46,"_31":32,"_33":47},"Servidor de protocolo de contexto de modelo para ejecutar código Python en un entorno sandbox.","# Ejecutar Python en MCP\n\nServidor [de protocolo de contexto de modelo](https://modelcontextprotocol.io/) para ejecutar código Python en un entorno sandbox.\n\nEl código se ejecuta utilizando [Pyodide](https://pyodide.org) en [Deno](https://deno.com/) y, por lo tanto, está aislado del resto del sistema operativo.\n\n**Consulte para obtener la documentación completa.**\n\nEl servidor se puede ejecutar con `deno` instalado usando:\n\n```bash\ndeno run \\\n -N -R=node_modules -W=node_modules --node-modules-dir=auto \\\n jsr:@pydantic/mcp-run-python [stdio|sse|warmup]\n```\n\ndónde:\n\n* `-N -R=node_modules -W=node_modules` (alias de `--allow-net --allow-read=node_modules --allow-write=node_modules` ) permite el acceso de red y de lectura y escritura a `./node_modules` . Estos son necesarios para que pyodide pueda descargar y almacenar en caché la biblioteca estándar y los paquetes de Python.\n* `--node-modules-dir=auto` le dice a deno que use un directorio `node_modules` local\n* `stdio` ejecuta el servidor con el [transporte MCP de Stdio](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio) , adecuado para ejecutar el proceso como un subproceso localmente\n* `sse` ejecuta el servidor con el [transporte SSE MCP](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse) , ejecutando el servidor como un servidor HTTP para conectarse local o remotamente\n* `warmup` ejecutará un script mínimo de Python para descargar y almacenar en caché la biblioteca estándar de Python. Esto también es útil para comprobar el correcto funcionamiento del servidor.\n\nAquí hay un ejemplo del uso de `@pydantic/mcp-run-python` con PydanticAI:\n\n```python\nfrom pydantic_ai import Agent\nfrom pydantic_ai.mcp import MCPServerStdio\n\nimport logfire\n\nlogfire.configure()\nlogfire.instrument_mcp()\nlogfire.instrument_pydantic_ai()\n\nserver = MCPServerStdio('deno',\n args=[\n 'run',\n '-N',\n '-R=node_modules',\n '-W=node_modules',\n '--node-modules-dir=auto',\n 'jsr:@pydantic/mcp-run-python',\n 'stdio',\n ])\nagent = Agent('claude-3-5-haiku-latest', mcp_servers=[server])\n\n\nasync def main():\n async with agent.run_mcp_servers():\n result = await agent.run('How many days between 2000-01-01 and 2025-03-18?')\n print(result.output)\n #> There are 9,208 days between January 1, 2000, and March 18, 2025.w\n\nif __name__ == '__main__':\n import asyncio\n asyncio.run(main())\n```","Spanish","es-ES",{"_27":51,"_31":54,"_36":55},{"_29":52,"_31":32,"_33":53},"サンドボックス内で Python コードを実行するためのモデルコンテキストプロトコルサーバー。","# MCP Python 実行\n\nサンドボックス内で Python コードを実行するための[モデルコンテキストプロトコル](https://modelcontextprotocol.io/)サーバー。\n\nコードは[Deno](https://deno.com/)内で[Pyodide](https://pyodide.org)を使用して実行されるため、オペレーティングシステムの残りの部分から分離されます。\n\n**完全なドキュメントについては、を参照してください。**\n\n`deno`をインストールした状態でサーバーを実行するには、次のコマンドを使用します。\n\n```bash\ndeno run \\\n -N -R=node_modules -W=node_modules --node-modules-dir=auto \\\n jsr:@pydantic/mcp-run-python [stdio|sse|warmup]\n```\n\nどこ：\n\n* `-N -R=node_modules -W=node_modules` （ `--allow-net --allow-read=node_modules --allow-write=node_modules`のエイリアス）は、 `./node_modules`へのネットワークアクセスと読み取り/書き込みアクセスを許可します。これらは、pyodide が Python 標準ライブラリとパッケージをダウンロードしてキャッシュするために必要です。\n* `--node-modules-dir=auto` deno にローカルの`node_modules`ディレクトリを使用するように指示します。\n* `stdio`[Stdio MCPトランスポート](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio)を使用してサーバーを実行します。プロセスをローカルでサブプロセスとして実行するのに適しています。\n* `sse`[SSE MCPトランスポート](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse)を使用してサーバーを実行します。サーバーをHTTPサーバーとして実行し、ローカルまたはリモートで接続します。\n* `warmup` 、Python標準ライブラリをダウンロードしてキャッシュするための最小限のPythonスクリプトを実行します。これは、サーバーが正しく動作しているかどうかを確認するのにも役立ちます。\n\nPydanticAI で`@pydantic/mcp-run-python`使用する例を次に示します。\n\n```python\nfrom pydantic_ai import Agent\nfrom pydantic_ai.mcp import MCPServerStdio\n\nimport logfire\n\nlogfire.configure()\nlogfire.instrument_mcp()\nlogfire.instrument_pydantic_ai()\n\nserver = MCPServerStdio('deno',\n args=[\n 'run',\n '-N',\n '-R=node_modules',\n '-W=node_modules',\n '--node-modules-dir=auto',\n 'jsr:@pydantic/mcp-run-python',\n 'stdio',\n ])\nagent = Agent('claude-3-5-haiku-latest', mcp_servers=[server])\n\n\nasync def main():\n async with agent.run_mcp_servers():\n result = await agent.run('How many days between 2000-01-01 and 2025-03-18?')\n print(result.output)\n #> There are 9,208 days between January 1, 2000, and March 18, 2025.w\n\nif __name__ == '__main__':\n import asyncio\n asyncio.run(main())\n```","Japanese","ja-JP",{"_27":57,"_31":60,"_36":61},{"_29":58,"_31":32,"_33":59},"샌드박스에서 Python 코드를 실행하기 위한 모델 컨텍스트 프로토콜 서버입니다.","# MCP 파이썬 실행\n\n샌드박스에서 Python 코드를 실행하기 위한 [모델 컨텍스트 프로토콜](https://modelcontextprotocol.io/) 서버입니다.\n\n이 코드는 [Deno](https://deno.com/) 의 [Pyodide를](https://pyodide.org) 사용하여 실행되므로 운영 체제의 나머지 부분과 격리됩니다.\n\n**전체 문서는 [https://ai.pydantic.dev/mcp/run-python/에서](https://ai.pydantic.dev/mcp/run-python/) 확인하세요.**\n\n다음을 사용하여 `deno` 설치하여 서버를 실행할 수 있습니다.\n\n지엑스피1\n\n어디:\n\n* `-N -R=node_modules -W=node_modules` ( `--allow-net --allow-read=node_modules --allow-write=node_modules` 의 별칭)는 네트워크 접근 및 `./node_modules` 에 대한 읽기+쓰기 접근을 허용합니다. 이는 pyodide가 Python 표준 라이브러리와 패키지를 다운로드하고 캐시하는 데 필요합니다.\n* `--node-modules-dir=auto` 는 deno에게 로컬 `node_modules` 디렉토리를 사용하도록 지시합니다.\n* `stdio`[Stdio MCP 전송을](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio) 사용하여 서버를 실행합니다. 이는 로컬에서 하위 프로세스로 프로세스를 실행하는 데 적합합니다.\n* `sse`[SSE MCP 전송을](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse) 사용하여 서버를 실행합니다. 즉, 로컬 또는 원격으로 연결하기 위해 서버를 HTTP 서버로 실행합니다.\n* `warmup` Python 표준 라이브러리를 다운로드하고 캐시하는 최소한의 Python 스크립트를 실행합니다. 이는 서버가 정상적으로 작동하는지 확인하는 데에도 유용합니다.\n\n다음은 PydanticAI와 함께 `@pydantic/mcp-run-python` 사용하는 예입니다.\n\n```python\nfrom pydantic_ai import Agent\nfrom pydantic_ai.mcp import MCPServerStdio\n\nimport logfire\n\nlogfire.configure()\nlogfire.instrument_mcp()\nlogfire.instrument_pydantic_ai()\n\nserver = MCPServerStdio('deno',\n args=[\n 'run',\n '-N',\n '-R=node_modules',\n '-W=node_modules',\n '--node-modules-dir=auto',\n 'jsr:@pydantic/mcp-run-python',\n 'stdio',\n ])\nagent = Agent('claude-3-5-haiku-latest', mcp_servers=[server])\n\n\nasync def main():\n async with agent.run_mcp_servers():\n result = await agent.run('How many days between 2000-01-01 and 2025-03-18?')\n print(result.output)\n #> There are 9,208 days between January 1, 2000, and March 18, 2025.w\n\nif __name__ == '__main__':\n import asyncio\n asyncio.run(main())\n```","Korean","ko-KR",{"_27":63,"_31":67,"_36":68},{"_29":64,"_31":65,"_33":66},"Модель сервера Context Protocol для запуска кода Python в «песочнице».","mcp-запустить-python","# MCP Запустить Python\n\n[Модель сервера Context Protocol](https://modelcontextprotocol.io/) для запуска кода Python в «песочнице».\n\nКод выполняется с использованием [Pyodide](https://pyodide.org) в [Deno](https://deno.com/) и поэтому изолирован от остальной части операционной системы.\n\n**Полную документацию смотрите по [адресу https://ai.pydantic.dev/mcp/run-python/](https://ai.pydantic.dev/mcp/run-python/) .**\n\nСервер можно запустить с установленным `deno` с помощью:\n\n```bash\ndeno run \\\n -N -R=node_modules -W=node_modules --node-modules-dir=auto \\\n jsr:@pydantic/mcp-run-python [stdio|sse|warmup]\n```\n\nгде:\n\n* `-N -R=node_modules -W=node_modules` (псевдоним `--allow-net --allow-read=node_modules --allow-write=node_modules` ) разрешает сетевой доступ и доступ на чтение и запись к `./node_modules` . Они необходимы для того, чтобы pyodide мог загружать и кэшировать стандартную библиотеку и пакеты Python\n* `--node-modules-dir=auto` сообщает deno использовать локальный каталог `node_modules`\n* `stdio` запускает сервер с [транспортом Stdio MCP](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio) — подходит для локального запуска процесса как подпроцесса\n* `sse` запускает сервер с [транспортом SSE MCP](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse) — запуск сервера как HTTP-сервера для локального или удаленного подключения\n* `warmup` запустит минимальный скрипт Python для загрузки и кэширования стандартной библиотеки Python. Это также полезно для проверки корректности работы сервера.\n\nВот пример использования `@pydantic/mcp-run-python` с PydanticAI:\n\n```python\nfrom pydantic_ai import Agent\nfrom pydantic_ai.mcp import MCPServerStdio\n\nimport logfire\n\nlogfire.configure()\nlogfire.instrument_mcp()\nlogfire.instrument_pydantic_ai()\n\nserver = MCPServerStdio('deno',\n args=[\n 'run',\n '-N',\n '-R=node_modules',\n '-W=node_modules',\n '--node-modules-dir=auto',\n 'jsr:@pydantic/mcp-run-python',\n 'stdio',\n ])\nagent = Agent('claude-3-5-haiku-latest', mcp_servers=[server])\n\n\nasync def main():\n async with agent.run_mcp_servers():\n result = await agent.run('How many days between 2000-01-01 and 2025-03-18?')\n print(result.output)\n #> There are 9,208 days between January 1, 2000, and March 18, 2025.w\n\nif __name__ == '__main__':\n import asyncio\n asyncio.run(main())\n```","Russian","ru-RU",{"_27":70,"_31":74,"_36":75},{"_29":71,"_31":72,"_33":73},"模型上下文协议服务器在沙箱中运行 Python 代码。","mcp-运行-python","# MCP 运行 Python\n\n[模型上下文协议](https://modelcontextprotocol.io/)服务器在沙箱中运行 Python 代码。\n\n该代码使用[Deno](https://deno.com/)中的[Pyodide](https://pyodide.org)执行，因此与操作系统的其余部分隔离。\n\n**请参阅以获取完整文档。**\n\n可以使用以下命令安装`deno`来运行服务器：\n\n```bash\ndeno run \\\n -N -R=node_modules -W=node_modules --node-modules-dir=auto \\\n jsr:@pydantic/mcp-run-python [stdio|sse|warmup]\n```\n\n在哪里：\n\n* `-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。\n* `--node-modules-dir=auto`告诉 deno 使用本地`node_modules`目录\n* `stdio`使用[Stdio MCP 传输](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#stdio)运行服务器 - 适合在本地将进程作为子进程运行\n* `sse`使用[SSE MCP 传输](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/transports/#http-with-sse)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\n* `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。\n\n以下是使用`@pydantic/mcp-run-python`与 PydanticAI 的示例：\n\n```python\nfrom pydantic_ai import Agent\nfrom pydantic_ai.mcp import MCPServerStdio\n\nimport logfire\n\nlogfire.configure()\nlogfire.instrument_mcp()\nlogfire.instrument_pydantic_ai()\n\nserver = MCPServerStdio('deno',\n args=[\n 'run',\n '-N',\n '-R=node_modules',\n '-W=node_modules',\n '--node-modules-dir=auto',\n 'jsr:@pydantic/mcp-run-python',\n 'stdio',\n ])\nagent = Agent('claude-3-5-haiku-latest', mcp_servers=[server])\n\n\nasync def main():\n async with agent.run_mcp_servers():\n result = await agent.run('How many days between 2000-01-01 and 2025-03-18?')\n print(result.output)\n #> There are 9,208 days between January 1, 2000, and March 18, 2025.w\n\nif __name__ == '__main__':\n import asyncio\n asyncio.run(main())\n```","Chinese","zh-CN","githubUser","locale",{"_79":80,"_13":81,"_88":40,"_89":40,"_16":90,"_91":92,"_31":32,"_104":105,"_112":-5,"_113":-5,"_114":115,"_158":159,"_164":-5,"_99":139,"_165":143,"_102":166,"_167":168},"addedAt","2025-03-31T18:12:49.261731Z",[82,83,84,85,86,87],"author:official","category:code-execution","category:developer-tools","hosting:hybrid","language:python","license_grade:a","descriptionMarkdown","descriptionPlainText",4733,"integrations",[93],{"_94":95,"_29":101,"_102":103},"brand",{"_96":97,"_31":98,"_99":100},"logoSvgPath","M14.25.18l.9.2.73.26.59.3.45.32.34.34.25.34.16.33.1.3.04.26.02.2-.01.13V8.5l-.05.63-.13.55-.21.46-.26.38-.3.31-.33.25-.35.19-.35.14-.33.1-.3.07-.26.04-.21.02H8.77l-.69.05-.59.14-.5.22-.41.27-.33.32-.27.35-.2.36-.15.37-.1.35-.07.32-.04.27-.02.21v3.06H3.17l-.21-.03-.28-.07-.32-.12-.35-.18-.36-.26-.36-.36-.35-.46-.32-.59-.28-.73-.21-.88-.14-1.05-.05-1.23.06-1.22.16-1.04.24-.87.32-.71.36-.57.4-.44.42-.33.42-.24.4-.16.36-.1.32-.05.24-.01h.16l.06.01h8.16v-.83H6.18l-.01-2.75-.02-.37.05-.34.11-.31.17-.28.25-.26.31-.23.38-.2.44-.18.51-.15.58-.12.64-.1.71-.06.77-.04.84-.02 1.27.05zm-6.3 1.98l-.23.33-.08.41.08.41.23.34.33.22.41.09.41-.09.33-.22.23-.34.08-.41-.08-.41-.23-.33-.33-.22-.41-.09-.41.09zm13.09 3.95l.28.06.32.12.35.18.36.27.36.35.35.47.32.59.28.73.21.88.14 1.04.05 1.23-.06 1.23-.16 1.04-.24.86-.32.71-.36.57-.4.45-.42.33-.42.24-.4.16-.36.09-.32.05-.24.02-.16-.01h-8.22v.82h5.84l.01 2.76.02.36-.05.34-.11.31-.17.29-.25.25-.31.24-.38.2-.44.17-.51.15-.58.13-.64.09-.71.07-.77.04-.84.01-1.27-.04-1.07-.14-.9-.2-.73-.25-.59-.3-.45-.33-.34-.34-.25-.34-.16-.33-.1-.3-.04-.25-.02-.2.01-.13v-5.34l.05-.64.13-.54.21-.46.26-.38.3-.32.33-.24.35-.2.35-.14.33-.1.3-.06.26-.04.21-.02.13-.01h5.84l.69-.05.59-.14.5-.21.41-.28.33-.32.27-.35.2-.36.15-.36.1-.35.07-.32.04-.28.02-.21V6.07h2.09l.14.01zm-6.47 14.25l-.23.33-.08.41.08.41.23.33.33.23.41.08.41-.08.33-.23.23-.33.08-.41-.08-.41-.23-.33-.33-.23-.41-.08-.41.08z","Python","slug","python","Provides the ability to execute Python code in a sandboxed environment using pyodide, allowing safe Python code execution isolated from the operating system.","uid","9f3pgcx9z7","namespace",{"_106":107,"_99":111},"owner",{"_108":109},"githubAccount",{"_110":111},"login","pydantic","readmeMarkdown","redditPostExternalId","repository",{"_116":117,"_124":125,"_129":130,"_149":-5,"_150":151,"_152":153,"_157":-5},"argumentsJsonSchema",{"_118":119,"_120":121,"_122":123},"properties",{},"required",[],"type","object","githubProject",{"_33":126,"_127":128},"# MCP Run Python\n\n[Model Context Protocol](https://modelcontextprotocol.io/) server to run Python code in a sandbox.\n\nThe code is executed using [Pyodide](https://pyodide.org) in [Deno](https://deno.com/) and is therefore isolated from\nthe rest of the operating system.\n\n**See for complete documentation.**\n\nThe server can be run with `deno` installed using:\n\n```bash\ndeno run \\\n -N -R=node_modules -W=node_modules --node-modules-dir=auto \\\n jsr:@pydantic/mcp-run-python [stdio|streamable_http|sse|warmup]\n```\n\nwhere:\n\n- `-N -R=node_modules -W=node_modules` (alias of `--allow-net --allow-read=node_modules --allow-write=node_modules`)\n allows network access and read+write access to `./node_modules`. These are required so pyodide can download and cache\n the Python standard library and packages\n- `--node-modules-dir=auto` tells deno to use a local `node_modules` directory\n- `stdio` runs the server with the\n [Stdio MCP transport](https://modelcontextprotocol.io/specification/2025-06-18/basic/transports#stdio) — suitable for\n running the process as a subprocess locally\n- `streamable_http` runs the server with the\n [Streamable HTTP MCP transport](https://modelcontextprotocol.io/specification/2025-06-18/basic/transports#streamable-http) -\n suitable for running the server as an HTTP server to connect locally or remotely. This supports stateful requests, but\n does not require the client to hold a stateful connection like SSE\n- `sse` runs the server with the\n [SSE MCP transport](https://modelcontextprotocol.io/specification/2024-11-05/basic/transports#http-with-sse) —\n suitable for running the server as an HTTP server to connect locally or remotely. Note that the SSE transport has been\n [deprecated in newer MCP protocol versions](https://modelcontextprotocol.io/specification/2025-06-18/basic/transports#backwards-compatibility)\n and is there to maintain backwards compatibility.\n- `warmup` will run a minimal Python script to download and cache the Python standard library. This is also useful to\n check the server is running correctly.\n\nHere's an example of using `@pydantic/mcp-run-python` with Pydantic AI:\n\n```python\nfrom pydantic_ai import Agent\nfrom pydantic_ai.mcp import MCPServerStdio\n\nimport logfire\n\nlogfire.configure()\nlogfire.instrument_mcp()\nlogfire.instrument_pydantic_ai()\n\nserver = MCPServerStdio('deno',\n args=[\n 'run',\n '-N',\n '-R=node_modules',\n '-W=node_modules',\n '--node-modules-dir=auto',\n 'jsr:@pydantic/mcp-run-python',\n 'stdio',\n ])\nagent = Agent('claude-3-5-haiku-latest', toolsets=[server])\n\n\nasync def main():\n async with agent:\n result = await agent.run('How many days between 2000-01-01 and 2025-03-18?')\n print(result.output)\n #> There are 9,208 days between January 1, 2000, and March 18, 2025.w\n\nif __name__ == '__main__':\n import asyncio\n 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MCP directory API