Python Runner MCP Server

Name: Python Runner MCP Server
Author: taiji1985

@taiji1985

リポジトリ

Python Runner MCP Server について

A MCP Server Of python runner

#python-runner #mcp-server #data-science

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

taiji1985

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_runner_mcp": {
      "command": "uvx",
      "args": [
        "python-runner"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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 Python Runner MCP Server?

A Python code execution server built on the FastMCP framework, designed for data science and machine learning workflows. It executes Python code in isolated namespaces and comes with pre-installed libraries such as NumPy, pandas, scikit-learn, Matplotlib, and more.

How to use Python Runner MCP Server?

Run the server directly with uvx python-runner (no installation required) or install manually via uv/pip and run python main.py. For use with Claude Desktop, add the server configuration to your claude_desktop_config.json file.

Key features of Python Runner MCP Server

Safe Python code execution in isolated namespaces
Pre-installed data science and machine learning libraries
Real-time capture of stdout, stderr, and return values
Fully compatible with the Model Context Protocol
Simple API: execute_python(code) returns a dict with output, error, and success

Use cases of Python Runner MCP Server

Run data analysis with pandas, NumPy, or SciPy
Train and evaluate scikit-learn models
Generate plots with Matplotlib, Seaborn, or Plotly
Test and debug Python snippets within Claude Desktop
Perform scientific computing or network analysis with SymPy or NetworkX

FAQ from Python Runner MCP Server

What are the runtime requirements?

Python 3.12 or higher and the uv package manager (recommended) or pip.

How can I run the server without installing anything?

Use uvx python-runner directly. This requires no prior installation.

Is it safe to execute arbitrary code?

Code runs in isolated namespaces and output is captured separately. However, the tool does execute arbitrary Python code; only use it in a trusted environment.

How do I call the server from Python directly?

After manual installation, import execute_python from main and pass a code string. The function returns a dict with output, error, and success keys.