Python Exec Sandbox MCP Server

@lu-zhengda

リポジトリ

基本情報

カテゴリ

推論

トランスポート

stdio

作者

lu-zhengda

投稿者

Zhengda Lu

Python Exec Sandbox MCP Server について

Sandboxed Python execution for AI agents. Scripts run in ephemeral, isolated environments (bubblewrap on Linux, Docker on macOS) with PEP 723 inline dependencies — zero host pollution, zero leftover venvs, zero package conflicts. Supports multi-version Python (3.13–3.15), configu

#python #sandbox #execution #security#pep723#docker#bubblewrap#uv

Python Exec Sandbox MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "python-sandbox": {
      "command": "uvx",
      "args": [
        "mcp-python-exec-sandbox"
      ]
    }
  }
}

Python Exec Sandbox MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Python Exec Sandbox?

Python Exec Sandbox is an MCP server that provides sandboxed execution of Python scripts with automatic dependency management. It uses platform-specific isolation (bubblewrap on Linux, Docker on macOS) and the uv package manager to resolve PEP 723 inline metadata, making it ideal for safely running untrusted or third-party code in agent workflows.

How to use Python Exec Sandbox?

Install the server via uvx and add it to Claude: claude mcp add python-sandbox -- uvx mcp-python-exec-sandbox. Then use the three provided tools: execute_python to run a script, check_environment to inspect the runtime, and validate_script to verify dependencies without execution.

Key features of Python Exec Sandbox

Sandboxed execution with platform-specific isolation (bubblewrap, Docker)
PEP 723 inline metadata for declaring dependencies in scripts
Multi-version Python support (3.13, 3.14, 3.15) via automatic uv downloads
Ephemeral environments with per-execution dependency resolution
Configurable timeouts (1–300s) and output truncation

Use cases of Python Exec Sandbox

Running untrusted Python scripts safely in an AI agent pipeline
Testing scripts with complex dependencies without permanent installation
Executing code in CI/CD workflows with guaranteed isolation
Providing a sandboxed Python environment for educational or exploration tools

よくある質問

What sandbox isolation methods are used?

Bubblewrap is used on Linux and Docker on macOS to prevent host filesystem access.

Can I configure the execution timeout?

Yes, the server supports configurable per-execution timeouts ranging from 1 to 300 seconds.

How are dependencies managed?

Dependencies are declared inline using PEP 723 `# /// script` blocks and are automatically resolved by uv into ephemeral environments. Package caching via uv makes repeat installs near-instant.

What Python versions are supported?

Python Exec Sandbox supports scripts on Python 3.13, 3.14, and 3.15. The correct version is downloaded automatically by uv.

What tools does the server expose?

Three tools are available: `execute_python` (run a script with dependency management), `check_environment` (report runtime details), and `validate_script` (validate metadata without execution).

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