프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Legwork

제작자: kumarganduri버전 0.7.19i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.kumarganduri/legwork

설치

개요

제작자가 쓴 설명(영어 원문)

Lets your AI find open-source tools on GitHub and install them as sandboxed MCP tools.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 개발자 도구

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • PyPIPython의 uv 설치(uvx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

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

터미널에서 이 명령어를 실행하세요

claude mcp add legwork -- uvx legwork-mcp hub

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

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

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

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

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 kumarganduri 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

개발자 도구 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 1395개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 1395개 중 87%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 1395개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Legwork, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.7.19)은 6일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

GitHub

제작자: github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

컴퓨터 또는 클라우드★ 34,245MIT4일 전 업데이트
설치

Desktop Commander

제작자: wonderwhy-er

MCP server for terminal commands, file operations, and process management

내 컴퓨터에서 실행★ 10,225MIT16일 전 업데이트
설치

Cloudflare MCP

제작자: cloudflare

Cloudflare MCP servers

클라우드에서 실행★ 4,446Apache-2.014개월 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Legwork

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:

  • *"Use Legwork to transcribe ~/Downloads/memo.m4a."* Any voice memo, mp3 or video, offline. Best in English and other widely spoken languages; its small built-in model is unreliable for languages like Telugu.
  • *"Use Legwork to remove the background from ~/Downloads/photo.jpg."*
  • *"Use Legwork to pull the tables out of ~/Downloads/report.pdf."*
  • *"Use Legwork to make a QR code for https://github.com/kumarganduri/legwork."*

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).

Why not just ask your AI to install it?

  • Most repos have no MCP server to install. Your AI would have to write one on the spot, untested, every time. Legwork writes it once, proves it works with a self-test, and caches it so the next person doesn't pay for it.
  • Whatever your AI installs runs with full access to your machine: your SSH keys, your files, your environment variables. That's how the two malware repos below would have got in. Legwork checks the code for obfuscated payloads first, and every tool it installs runs sandboxed: in your home folder it sees only the folders you grant.
  • It works across your tools: the same install works in Claude Code, Claude Desktop, Cursor, opencode, Codex CLI, Goose and OpenClaw.

What it did on real repos

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:

OutcomeRepos
✅ Built a working MCP server3 — an npm CLI, a Python library, a Go binary
↩️ Refused, with the right reason5 — 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.

Let your AI find its own tools (hub)

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" } }

  • You approve every install: your client shows the repo and the folders it asks for. For a repo that isn't in the cache, a model writes the install command during the build, and the build stops to show you that exact command before any of it runs: you approve it in a second call (legwork build asks y/N in the terminal).
  • The hub's flags are the ceiling. An install can ask for the folders you allowed or less, never more, and no network unless you started the hub with --allow-net. Secret folders (~/.ssh, ~/.aws, ...) are refused outright.
  • Installed tools appear by name (pdfplumber__extract_tables), and use_tool works in clients that don't refresh their tool list. Installs are remembered across restarts.
  • Search results tell your AI what matters: stars, license, how recently the repo was updated, whether it's in the Legwork cache, whether it already has an MCP server, and a warning on very new repos (the malware we caught was three days old). Descriptions are marked as untrusted text.

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.

  • Tools that use the internet (YouTube transcripts and downloads, web pages) need the hub started with --allow-net; without it they install, then can't connect.
  • Files a tool makes (a trimmed video, a chart, a QR code) are copied to ~/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.
  • GitHub allows 10 searches a minute without a token, and each 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.
Other MCP clients

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.

ClientTestedAdd LegworkBefore an install
Claude Code✅claude mcp add legwork -- uvx legwork-mcp hub --allow-read ~/Downloadsasks
Claude Desktop✅JSON aboveasks
Cursor✅JSON aboveits 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✅ 1.18JSON aboveasks only with the permission line above
Codex CLI✅ 0.159codex mcp add legwork -- uvx legwork-mcp hub --allow-read ~/Downloadsasks
Goose✅ 1.52goose session --with-extension "uvx legwork-mcp hub --allow-read ~/Downloads"asks with GOOSE_MODE=smart_approve; the default mode doesn't
OpenClaw✅ 2026.9openclaw mcp add legwork --command uvx --arg legwork-mcp --arg hub --arg --allow-read --arg ~/Downloadsits default full-permission mode doesn't ask
Gemini CLI, Cline, Zed, Continue, ...not yetthe same command in the client's MCP configcheck 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.

Quick start

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

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

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