広告掲載
MCP.so
ログイン

MCP Python Toolbox

@gianlucamazza

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

gianlucamazza

MCP Python Toolbox について

MCP server giving AI assistants a toolbox for Python development.

#mcp-python-toolbox#python-development#model-context-protocol

MCP Python Toolbox 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": {
    "mcp_python_toolbox": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Python Toolbox 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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Python Toolbox?

MCP Python Toolbox is a Model Context Protocol (MCP) server that provides a comprehensive set of tools for Python development. It enables AI assistants like Claude to read, write, analyze, format, lint, manage dependencies, and execute Python code within a workspace.

How to use MCP Python Toolbox?

Install by cloning the repository, creating a virtual environment, and running pip install -e ".[dev]". Start the server as a CLI tool with python -m mcp_python_toolbox --workspace /path/to/project. For Claude Desktop, add a JSON configuration entry specifying the Python binary and arguments. Programmatic usage is also supported via the PythonToolboxServer class.

Key features of MCP Python Toolbox

  • Safe file operations with workspace path validation
  • AST-based Python code analysis (imports, functions, classes)
  • Code formatting via Black and PEP8 (autopep8)
  • Code linting using Pylint with detailed reports
  • Virtual environment creation and dependency management
  • Sandboxed code execution using the project’s virtual environment

Use cases of MCP Python Toolbox

  • An AI assistant reading and modifying Python project files.
  • Analyzing code structure (functions, classes, dependencies) for refactoring.
  • Automatically formatting and linting code before committing.
  • Managing virtual environments and installing packages from requirements or pyproject.toml.
  • Safely executing Python code within a project context.

よくある質問

1

What are the runtime dependencies?

Python 3, Black, autopep8, Pylint, and a virtual environment. The package is installed in development mode with `.[dev]`.

2

How does the server ensure safety for file operations?

File operations are restricted to the configured workspace directory. Path validation prevents access outside that directory. Code execution uses temporary files and captures stdout/stderr.

3

How do I configure MCP Python Toolbox with Claude Desktop?

Add a JSON entry under MCP tools specifying the command (Python binary), arguments (`-m mcp_python_toolbox --workspace /path`), and environment variables like `PYTHONPATH` and `VIRTUAL_ENV`.

4

Can it execute arbitrary Python code?

Yes. The `CodeExecutor` tool runs code in the project’s virtual environment, capturing output, errors, and exit code. It uses temporary files and supports custom working directories.

5

What license does MCP Python Toolbox use?

MIT License.

コメント

「その他」の他のコンテンツ

MaxKB

1Panel-dev

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

22.0K

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K

Sequential Thinking

modelcontextprotocol

Model Context Protocol Servers

88.2K
N

Next Generation Movers: free moving quotes (remote MCP)

Next Generation Movers

Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40

Codelf

unbug

A search tool helps dev to solve the naming things problem.

14.2K
広告掲載