GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者による説明(英語の原文)
Lets your AI find open-source tools on GitHub and install them as sandboxed MCP tools.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"legwork": {
"command": "uvx",
"args": [
"legwork-mcp",
"hub"
]
}
}
}ターミナルでこれを実行します
claude mcp add legwork -- uvx legwork-mcp hubプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"legwork": {
"command": "uvx",
"args": [
"legwork-mcp",
"hub"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"legwork": {
"type": "stdio",
"command": "uvx",
"args": [
"legwork-mcp",
"hub"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント kumarganduri で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.7.19)がレジストリに届いたのは6 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:GitHub, Desktop Commander, Cloudflare MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Your AI finds the open-source tool it needs on GitHub. Legwork installs it in a sandbox.
https://github.com/user-attachments/assets/9e9b80b5-99ff-4d21-b689-74655418f23d
A real run in Claude Desktop. The 25-second install is sped up; the malware repos' names are masked.
Add Legwork to Claude, Cursor, Codex, opencode or any MCP client once. When you ask for something your AI has no tool for, it searches GitHub, picks a repo, and asks you to approve installing it. Legwork then checks the code for hidden payloads, builds a working tool for it in a sandbox, tests it, and hands it over. In your home folder it can only read the folders you allow.
claude mcp add legwork -- uvx legwork-mcp hub --allow-read ~/Downloads
Then just ask. Four to try first, all from the public cache, so they need no API key:
Saying "use Legwork" matters in Claude Desktop: without it, Claude may reach for its own cloud code sandbox, which can't see the files on your computer unless you attach them.
Your AI finds the tool (faster-whisper, rembg, pdfplumber, qrcode), you approve the install, and about a minute later it does the job. Files a tool makes are copied to ~/Legwork/outputs/. On macOS, the first time a tool reads Downloads, macOS asks whether uvx may access it; allow it once. If something doesn't work, uvx legwork-mcp doctor checks your setup. Or build one tool yourself: uvx legwork-mcp owner/repo (a model key for repos not in the cache).
On 2026-09-26 we ran Legwork against the 10 most-starred AI repos created on GitHub in the previous week, taken exactly as search ranked them, with nothing skipped for being hard:
| Outcome | Repos |
|---|---|
| ✅ Built a working MCP server | 3 — an npm CLI, a Python library, a Go binary |
| ↩️ Refused, with the right reason | 5 — two Android/macOS apps, a desktop app, a repo with no usage docs, a tool that needs its own API keys |
| 🛑 Blocked before install (malware) | 2 |
Two of those top-10 "AI tools", about 700 stars each and three days old at the time, carried the same byte-identical obfuscated dropper under different file names. Legwork's pre-install scan refused both in about a second. Nothing from them was installed or run. Stars are not a trust signal.
The tripwire has to stay quiet on ordinary code too. Run over the 150 most-starred Python, JavaScript and TypeScript repos on GitHub (2026-10-01), it blocks one: lodash, for a vendored 2009 debugging script that really does run eval(unescape(...)).
Full write-up, including what failed along the way and what we fixed: docs/designs/legwork-trending-trial-2026-09-26.md.
A second, larger run on the next 22 new trending repos, with two models: gpt-5 built 12 and refused 10 with reasons, with no crashes; OpenRouter's free Nemotron built 4. That run also caught two false malware alarms and a gap where only published packages could be installed, both fixed. Write-up.
legwork hub is one MCP server that gives your AI five tools: find_tools, install_tool, install_status, list_installed_tools and use_tool.
claude mcp add legwork -- uvx legwork-mcp hub --allow-read ~/Downloads
For Claude Desktop (macOS), download legwork.mcpb and double-click it. Desktop installs it as an extension and lets you pick the folders tools may read (Downloads by default) and whether they may use the internet, under Settings → Extensions → Legwork → Configure. It runs the released legwork-mcp from PyPI, pinned to that release.
Or, for Cursor or Claude Desktop without the extension, add this to the MCP config (for Claude Desktop, while the app is quit), with your own user name in the path: a folder that doesn't exist stops the hub from starting.
{ "mcpServers": { "legwork": { "command": "uvx",
"args": ["legwork-mcp", "hub", "--allow-read", "/Users/you/Downloads"] } } }
For opencode, add this to ~/.config/opencode/opencode.json. opencode runs MCP tools without asking by default, so the permission line is what makes it ask you before an install:
{
"$schema": "https://opencode.ai/config.json", "mcp": { "legwork": { "type": "local", "command": ["uvx", "legwork-mcp", "hub", "--allow-read", "~/Downloads"] } }, "permission": { "legwork_install_tool": "ask" } }
legwork build asks y/N in the terminal).--allow-net. Secret folders (~/.ssh, ~/.aws, ...) are refused outright.pdfplumber__extract_tables), and use_tool works in clients that don't refresh their tool list. Installs are remembered across restarts.37 tools are in the [public cache](cache/) and install in about a minute with no API key: speech-to-text, OCR, background removal, PDFs and Office files, video, YouTube transcripts, charts, DuckDB and CSV tools, maths and units, and linters and formatters. Each was built, reviewed by hand and tried with a real call before it was added, and pins the version of the package it wraps (its dependencies resolve at install). The cache a release reads is the one tagged with that release, so a change to the cache reaches you only with an upgrade. Others need a model key, and building takes 1–5 minutes. Put the key in ~/.legwork.env (three lines, chmod 600) and the hub reads it when it needs to build, so the key never goes in your MCP config, where it would sit in plain text.
legwork find "extract tables pdf" runs the same search from your terminal.
--allow-net; without it they install, then can't connect.~/Legwork/outputs/ /, and the reply says where; images also come back inline. Your granted folders stay read-only, so a tool can't write next to your files. The copies are never executable, and on macOS they get the same quarantine flag as downloads. --outputs DIR puts them elsewhere, --outputs off turns copying off.find_tools uses 2 to 4. Cached tools still show up when GitHub says no. For 30 a minute, add GITHUB_TOKEN= to ~/.legwork.env.Legwork is a standard MCP server over stdio, so any client that runs local MCP servers can use it. What differs is whether the client asks you before it calls a tool. Legwork labels its tools (searching only reads; installing acts), and the clients marked "asks" use those labels.
| Client | Tested | Add Legwork | Before an install |
|---|---|---|---|
| Claude Code | ✅ | claude mcp add legwork -- uvx legwork-mcp hub --allow-read ~/Downloads | asks |
| Claude Desktop | ✅ | JSON above | asks |
| Cursor | ✅ | JSON above | its default Auto-review mode lets an AI decide, and ran installs without asking in our test; to approve every install, set Settings → Agents → Approvals & Execution to Allowlist and leave install_tool off the list |
| opencode | ✅ 1.18 | JSON above | asks only with the permission line above |
| Codex CLI | ✅ 0.159 | codex mcp add legwork -- uvx legwork-mcp hub --allow-read ~/Downloads | asks |
| Goose | ✅ 1.52 | goose session --with-extension "uvx legwork-mcp hub --allow-read ~/Downloads" | asks with GOOSE_MODE=smart_approve; the default mode doesn't |
| OpenClaw | ✅ 2026.9 | openclaw mcp add legwork --command uvx --arg legwork-mcp --arg hub --arg --allow-read --arg ~/Downloads | its default full-permission mode doesn't ask |
| Gemini CLI, Cline, Zed, Continue, ... | not yet | the same command in the client's MCP config | check the client's settings |
In every client, the folders and network you start the hub with stay the ceiling, whether or not the client asks.
Faster starts: uvx downloads Legwork on the first run, which can be slower than some clients wait (Codex allows 10 seconds; add startup_timeout_sec = 60 under [mcp_servers.legwork] in ~/.codex/config.toml). Or install it once with uv tool install legwork-mcp and use the full path that which legwork prints, plus hub ..., as the command (desktop apps don't see your shell's PATH); uv tool upgrade legwork-mcp updates it.
You need macOS or Linux and uv. Tools in the public cache need nothing else. For any other repo you also need a model key for an OpenAI-compatible chat-completions endpoint (see Model providers). Legwork itself is free; the only cost is your own model usage, which is 1–3 calls per build.
Linux: install bubblewrap (and one step on Ubuntu 24.04+)
The Linux sandbox is bubblewrap:
sudo apt install bubblewrap python3-venv # Debian/Ubuntu
sudo dnf install bubblewrap # Fedora
Ubuntu 24.04 and later block the user namespaces bubblewrap needs, unless a program's AppArmor profile allows them. Allow them for bwrap only (this is what Ubuntu does for Chrome and
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