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Pystub

by KoyoYeagerversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.KoyoYeager/pystub

Install

Overview

Description from the maker (original English)

Auto-detect stubbable packages for Python exe builds and generate minimal stub code

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "pystub": {
      "command": "uvx",
      "args": [
        "mcp-pystub"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pystub -- uvx mcp-pystub

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "pystub": {
      "command": "uvx",
      "args": [
        "mcp-pystub"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "pystub": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-pystub"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account KoyoYeager, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4904 servers in this category
  • Published to the registry more recently than 9% of the other 4904 servers in this category
  • Basic checks equal to or better than 100% of the other 4904 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Pystub safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

mcp-pystub

Python exe ビルド(PyInstaller / Nuitka / cx_Freeze)時にスタブ置換可能なパッケージを自動検出し、最小スタブコードを生成する MCP サーバー。


An MCP server that auto-detects stubbable packages for Python exe builds (PyInstaller / Nuitka / cx_Freeze) and generates minimal stub code to reduce executable size.

背景 / Background

Python アプリを exe 化すると、依存ライブラリがモジュールレベルで import する重量パッケージが丸ごと同梱され、exe サイズが膨張する。実際のコードパスで使わないパッケージは最小ダミー(スタブ)で置換すれば大幅なサイズ削減が可能。

When building Python apps into executables, heavy packages imported at module level by dependencies get bundled entirely, bloating the exe size. Replacing unused packages with minimal stubs can significantly reduce size.

実証データ / Verified Results

asammdf プロジェクト — PyInstaller exe ビルド(E2E 動作確認済み):

exe サイズ動作PySide6
スタブなし431 MBOKロード済み
asammdf.gui スタブ適用259 MBOK排除
削減-40%(172 MB)影響なし

asammdf 変換ツール(analyze 結果):

stubbable:          pandas (59.7 MB), canmatrix (4.0 MB) — 合計 63.7 MB

submodule hints: asammdf.gui → PySide6 (523 MB) 排除可能 — 50 hints 検出

手動でスタブ化していた 3 パッケージ(pandas, canmatrix, asammdf.gui)を全て自動検出

機能 / Features

ツール / Tool説明 / Description
analyzeimport グラフを解析しスタブ候補を自動検出。C拡張パッケージの間接排除ヒントも出力 / Auto-detect stubbable packages + submodule stub hints for C-extension elimination
graphimport グラフをノード・エッジで可視化 / Visualize import graph as nodes and edges
check特定パッケージの使用状況を詳細分析 / Deep analysis of a specific package's usage
generateパッケージスタブの最小コードを生成 + ビルド手順出力 / Generate minimal stub code + build instructions
generate_submoduleC拡張パッケージを間接排除するサブモジュールスタブを生成 / Generate submodule stubs to indirectly eliminate C-extension packages
判定結果 / Verdicts
判定 / Verdict意味 / Meaning
stubbableスタブ化可能。プロジェクトの実行パスで未使用 / Safe to stub. Not used in project's runtime path
nofollowtry/except 保護あり。--nofollow-import-to で除外推奨 / Protected import. Use --nofollow-import-to
requiredスタブ化不可。実際に使用されている / Cannot stub. Actually used at runtime

できること / What It Can Do

  • ライブラリ非固定の汎用検出: AST 構造のみで判定。ハードコードなし
  • 関数レベルの使用追跡: mdf.get() は使うが mdf.to_dataframe() は使わない → pandas は stubbable
  • Call と参照の区別: isinstance(x, pd.DataFrame) は stub-safe、pd.DataFrame(data) は実使用
  • クラス継承の検出: class User(BaseModel) → pydantic は required
  • module-level 呼び出し検出: import 時に実行されるコードを追跡
  • try/except 保護の自動検出: 保護された import は nofollow と判定
  • スタブコード自動生成: 参照シンボルのみの最小スタブ + ビルド手順(バックアップ・復元・検証)
  • C 拡張の自動検出: .pyd / .so を含むパッケージは直接スタブ化不可と判定
  • C 拡張の間接排除 *(v0.2 new)*: C拡張パッケージを import しているサブモジュールが未使用なら、そのサブモジュールをスタブ化して C拡張を排除可能。PySide6 (523 MB) → asammdf.gui スタブで exe 40% 削減を実証
  • 復元安全設計 *(v0.2 new)*: バックアップ + バージョン固定 pip + 検証コマンドの 3 重安全策
  • PyInstaller フック情報: 無効化が必要なフックファイルを通知

できないこと・制限事項 / Limitations

  • C 拡張パッケージ(.pyd / .so)は直接スタブ化すると C 拡張が欠落するため required 判定。ただし generate_submodule で間接排除が可能(v0.2 で対応)
  • 動的 import(importlib.import_module(変数))は静的解析で追跡不可(warnings で通知)
  • PyInstaller カスタムフック: スタブと衝突する場合がありフックの手動無効化が必要
  • 遅延初期化パターン: __init__ で直接呼ばず後のメソッドで使うパッケージは検出精度が下がる(安全側で required に判定)
  • pip 名と import 名の不一致: python-dateutil → dateutil 等のマッピングは未対応
  • ランタイムの条件分岐: if sys.version < (3,11) 内の import は静的解析で判定不可
安全性の設計方針 / Safety Policy

「stubbable と判定したが実は必要だった」は絶対に起こさない設計。判定に迷う場合は required(安全側)に倒す。逆方向の誤判定(本当は stubbable なのに required)は許容する。

解析アルゴリズム / Analysis Algorithm

  1. Import 抽出: ast.parse() で各ファイルの import 文を解析(module-level / function-level / try-except 保護を区別)
  2. Import グラフ構築: エントリーポイントから BFS で依存関係を再帰解決(stdlib / third_party / local を自動分類)
  3. 使用分析: gateway 関数(依存ライブラリ内でパッケージを呼び出す関数)を特定し、プロジェクトコードがそれを呼んでいるか追跡。名前参照のみ(isinstance, 型アノテーション)は stub-safe として除外
  4. Module-level 検出: import 時にパッケージの関数が呼ばれる場合は required に格上げ
  5. サブモジュール間接排除 *(v0.2)*: C拡張パッケージを import しているサブモジュールを特定し、プロジェクトが直接 import していない + re-export シンボルを呼んでいない場合にスタブ化ヒントを出力

インストール / Installation

pip install mcp-pystub
依存パッケージ / Dependencies
  • mcp>=1.0.0 - Model Context Protocol SDK
  • 解析エンジンは Python 標準ライブラリのみ使用(ast, importlib, pathlib)

使い方 / Usage

MCP サーバーとして起動 / Run as MCP server
mcp-pystub
Claude Desktop / Claude Code 設定
{

"mcpServers": { "pystub": { "command": "mcp-pystub" } } }

ツール使用例 / Tool Examples
analyze
入力 / Input:

entry_point: "C:/project/converter.py" python_path: "C:/project/.venv/Lib/site-packages"

出力 / Output: { "stubbable": [ {"package_name": "pandas", "estimated_size_mb": 59.7, "reason": "依存ライブラリ経由でのみ import..."} ], "required": [ {"package_name": "numpy", "reason": "プロジェクトコードが直接 import し使用"}, {"package_name": "PySide6", "estimated_size_mb": 523.2, "reason": "C 拡張...ただし asammdf.gui をスタブ化することで間接排除が可能", "submodule_stubs": [{"submodule": "asammdf.gui", "target_package": "PySide6"}]} ], "nofollow": [ {"package_name": "mpmath"} ], "submodule_stub_hints": [ {"submodule": "asammdf.gui", "parent_package": "asammdf", "target_package": "PySide6", "imported_symbols": ["plot"]} ], "analysis_time_ms": 6478 }

generate
入力 / Input:

entry_point: "C:/project/converter.py" package_name: "pandas"

出力 / Output: { "files": { "pandas/init.py": "...", "pandas/core/api.py": "class DataFrame: pass\nclass Series: pass\n..." }, "original_file_count": 2980, "stub_file_count": 266, "stub_total_bytes": 209530, "build_instructions": { "install_commands": ["pip uninstall -y pandas", "# cp stubs to site-packages"], "uninstall_commands": ["pip install pandas"], "hook_disable": ["# hook-pandas*.py → .disabled"] } }

generate_submodule *(v0.2 new)*
入力 / Input:

entry_point: "C:/project/converter.py" parent_package: "asammdf" submodule: "asammdf.gui"

出力 / Output: { "parent_package": "asammdf", "submodule": "asammdf.gui", "files": { "asammdf/gui/init.py": "\"\"\"Auto-generated stub...\"\"\"\ndef plot(*args, **kwargs): ..." }, "eliminated_packages": ["PySide6", "scipy", "lxml"], "original_size_bytes": 5907331, "stub_size_bytes": 144, "build_instructions": { "backup_commands": ["cp -r .../asammdf/gui .../asammdf/gui.bak"], "install_commands": ["rm -rf .../asammdf/gui", "cp -r _stubs/asammdf/gui/ .../asammdf/gui/"], "uninstall_commands": ["mv .../asammdf/gui.bak .../asammdf/gui"], "verify_commands": ["python -c \"import asammdf; print('OK')\""] } }

パフォーマンス / Performance

プロジェクト規模解析時間ノード数
軽量 (click)335ms73
中規模 (flask)1,743ms230
重量級 (pandas)4,820ms491
超重量級 (sympy)6,919ms681

テスト / Testing

python -m pytest tests/ -v
テスト実績
テスト種別件数結果
ユニットテスト(9モジュール)91全通過
PyPI ライブラリ大規模テスト(requests, flask, pandas 等)84クラッシュ 0
PyInstaller exe ビルド + 動作テスト22全 PASS
asammdf E2E(MDF作成→読取→リサンプリング)1exe 40% 削減 + 正常動作
復元テスト(バックアップ → 復元 → 検証)4全成功

ライセンス / License

MIT

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