GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Lets your AI find open-source tools on GitHub and install them as sandboxed MCP tools.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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": {
"legwork": {
"command": "uvx",
"args": [
"legwork-mcp",
"hub"
]
}
}
}Run this in your terminal
claude mcp add legwork -- uvx legwork-mcp hubPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"legwork": {
"command": "uvx",
"args": [
"legwork-mcp",
"hub"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"legwork": {
"type": "stdio",
"command": "uvx",
"args": [
"legwork-mcp",
"hub"
]
}
}
}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.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account kumarganduri, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.7.19) reached the registry 6 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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.
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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