# Python execute

> Use this tool when you need to run Python code securely and instantly, without local setup, to prototype, test, and share reproducible results. It solves problems of environment setup and dependency management, allowing for seamless execution of Python snippets with declared inline dependencies. Ideal for ad-hoc testing, rapid prototyping, and collaborative development, it provides a secure sandbox with instant execution and easy sharing of results.

Canonical page: https://skillsregistry.net/skills/stuzhy-py-execute-mcp  
JSON: https://api.skillsregistry.net/v1/skills/stuzhy-py-execute-mcp

## Description

Run Python code in a secure sandbox without local setup. Declare inline dependencies and execute snippets instantly. Prototype, test, and share reproducible results with ease.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/STUzhy/py_execute_mcp)
- **Repository:** <https://github.com/STUzhy/py_execute_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "stuzhy-py-execute-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stuzhy-py-execute-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stuzhy-py-execute-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt