# mcp-pystub

> mcp-pystub — koyoyeager-mcp-pystub. Use this tool when you need to optimize Python executable builds by auto-detecting stubbable packages, streamlining the process and improving efficiency. It takes Python executable builds as input and outputs optimized builds with reduced size. Ideal for use in development environments with git version control, where build optimization is crucial for faster deployment and reduced storage needs.

Canonical page: https://skillsregistry.net/skills/koyoyeager-mcp-pystub  
JSON: https://api.skillsregistry.net/v1/skills/koyoyeager-mcp-pystub

## Description

Python exe スタブ最適化 MCP サーバー / Auto-detect stubbable packages for Python exe builds

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/KoyoYeager/mcp-pystub)

## 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": "koyoyeager-mcp-pystub"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/koyoyeager-mcp-pystub` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/koyoyeager-mcp-pystub/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
