ipdata MCP by usefulapi
Look up location, network, company and threat data for IP addresses and ASNs in ipdata.
제작자가 쓴 설명(영어 원문)
45 judges that evaluate AI-generated code for security, cost, and quality with built-in AST.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
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": {
"judges": {
"command": "npx",
"args": [
"-y",
"@kevinrabun/judges"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add judges -- npx -y @kevinrabun/judges프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"judges": {
"command": "npx",
"args": [
"-y",
"@kevinrabun/judges"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"judges": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@kevinrabun/judges"
]
}
}
}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.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 KevinRabun 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(3.129.9)은 7개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: ipdata MCP by usefulapi, MaxMind minFraud MCP by usefulapi, Lambda Labs MCP by usefulapi
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Look up location, network, company and threat data for IP addresses and ASNs in ipdata.
MCP server for MaxMind minFraud — score transactions for fraud risk from your AI assistant.
Read GPU instances, types, images, filesystems and firewall rules; launch and terminate instances.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
An MCP (Model Context Protocol) server that provides a panel of 45 specialized judges to evaluate AI-generated code — acting as an independent quality gate regardless of which project is being reviewed. Combines deterministic pattern matching & AST analysis (instant, offline, zero LLM calls) with LLM-powered deep-review prompts that let your AI assistant perform expert-persona analysis across all 45 domains.
Highlights:
src/patches/index.ts) plus LLM-powered deep review.🧪 Many commands in
printHelpare experimental/roadmap. By default, we show GA commands only. SetJUDGES_SHOW_EXPERIMENTAL=1to reveal stubs; these may not be wired yet.
🔰 Packages
- CLI:
@kevinrabun/judges-cli→ binaryjudges(usenpx @kevinrabun/judges-cli eval --file app.ts).
- MCP/API:
@kevinrabun/judges→ programmatic API + MCP server (npm install @kevinrabun/judges).
- VS Code extension: see
vscode-extension/.
- GitHub Action:
uses: KevinRabun/judges@main(see CI quickstart).
# Using the CLI package (recommended)
npx @kevinrabun/judges-cli eval --file src/app.ts
npx @kevinrabun/judges-cli --help
echo "JUDGES_SHOW_EXPERIMENTAL=1" >> $GITHUB_ENV npx @kevinrabun/judges-cli --help
npx @kevinrabun/judges-cli license-scan --dir .
CLI vs API: If you want to embed Judges in your app (MCP/API), install
@kevinrabun/judges. For the command-line, use@kevinrabun/judges-cli(binaryjudges).
name: Judges
on: [pull_request, push] jobs: judges: runs-on: ubuntu-latest steps:
npm install @kevinrabun/judges
import { evaluateCode } from "@kevinrabun/judges/api";
const verdict = evaluateCode("const password = 'ProdSecret';", "typescript"); console.log(verdict.overallVerdict, verdict.overallScore);
The MCP server runs on stdio and is started by your MCP client (VS Code, Claude Desktop, etc.). Configure it in your MCP settings (e.g. mcp.json):
{
"servers": { "judges": { "type": "stdio", "command": "npx", "args": ["-y", "@kevinrabun/judges"] } } }
Or run the server directly:
npx @kevinrabun/judges
Config file:
.judgesrc.json(supports${ENV_VAR}substitution viaexpandEnvPlaceholders). See Configuration.
AI code generators (Copilot, Cursor, Claude, ChatGPT, etc.) write code fast — but they routinely produce insecure defaults, missing auth, hardcoded secrets, and poor error handling. Human reviewers catch some of this, but nobody reviews 45 dimensions consistently.
| ESLint / Biome | SonarQube | Semgrep / CodeQL | Judges | |
|---|---|---|---|---|
| Scope | Style + some bugs | Bugs + code smells | Security patterns | 45 domains: security, cost, compliance, a11y, API design, cloud, UX, … |
| AI-generated code focus | No | No | Partial | Purpose-built for AI output failure modes |
| Setup | Config per project | Server + scanner | Cloud or local | One command: npx @kevinrabun/judges-cli eval file.ts |
| Auto-fix patches | Some | No | No | 200+ deterministic patches — instant, offline |
| Non-technical output | No | Dashboard | No | Plain-language findings with What/Why/Next |
| MCP native | No | No | No | Yes — works inside Copilot, Claude, Cursor |
| SARIF output | No | Yes | Yes | Yes — upload to GitHub Code Scanning |
| Cost | Free | $$$$ | Free/paid | Free / MIT |
Judges doesn't replace linters — it covers the dimensions linters don't: authentication strategy, data sovereignty, cost patterns, accessibility, framework-specific anti-patterns, and architectural issues across multiple files.
Prereqs: Node.js >=18 (>=20 recommended),
npxavailable. ThejudgesCLI binary ships with @kevinrabun/judges-cli (preferred) and also works vianpx @kevinrabun/judges.
Packages:
- CLI:
npm install -g @kevinrabun/judges-cli(ornpx @kevinrabun/judges-cli ...)
- MCP/API:
npm install @kevinrabun/judges
Use @kevinrabun/judges for the MCP server and programmatic API. Use @kevinrabun/judges-cli when you want the judges terminal command.
# Install the CLI globally
npm install -g @kevinrabun/judges-cli
judges eval src/app.ts
cat api.py | judges eval --language python
judges eval --judge cybersecurity server.ts
judges eval --file app.ts --format sarif > results.sarif
judges eval --file app.ts --format html > report.html
judges eval --fail-on-findings src/api.ts
judges eval --baseline baseline.json src/api.ts
judges eval --preset security-only src/api.ts
judges eval --config .judgesrc.json src/api.ts
judges eval --min-score 80 src/api.ts
judges eval --summary src/api.ts
judges skill ai-code-review --file src/app.ts judges skill security-review --file src/api.ts --format json judges skill release-gate --file src/app.ts judges skills # list available skills
Full catalog:
docs/skills.md
judges list
# Interactive project setup wizard
judges init
judges fix src/app.ts
judges fix src/app.ts --apply
judges license-scan --format json --risk high
judges watch src/
judges report . --format html --output report.html
git diff HEAD~1 | judges diff
judges deps --path . --format json
judges app serve --port 4567
judges review --pr 123 --repo owner/name --diff-only
judges tune --dir . --apply
judges baseline create --file src/api.ts -o baseline.json
judges ci-templates --provider github judges ci-templates --provider gitlab judges ci-templates --provider azure judges ci-templates --provider bitbucket
judges docs judges docs --judge cybersecurity judges docs --output docs/
judges completions bash # eval "$(judges completions bash)" judges completions zsh judges completions fish judges completions powershell
judges hook install
judges hook uninstall
🔎 Tip: The CLI help now defaults to GA commands only. To see experimental/roadmap commands, run:
`bash
JUDGES_SHOW_EXPERIMENTAL=1 judges --help
`
Run a zero-config PR reviewer as a GitHub App:
# Run the webhook server locally
judges app serve --port 4567
Required env vars:
JUDGES_APP_ID – GitHub App IDJUDGES_PRIVATE_KEY or JUDGES_PRIVATE_KEY_PATH – PEM private keyJUDGES_WEBHOOK_SECRET – signature verification secretOptional:
JUDGES_MIN_SEVERITY (default: medium)JUDGES_MAX_COMMENTS (default: 25)JUDGES_TEST_DRY_RUN=1 to avoid live network calls during testsFor local testing, you can expose http://localhost:4567/webhook via ngrok http 4567 and configure the GitHub App webhook URL accordingly.
Add Judges to your CI pipeline with zero configuration:
# .github/workflows/judges.yml
name: Judges Code Review on: [pull_request]
jobs: judges: runs-on: ubuntu-latest permissions: contents: read security-events: write # only if using upload-sarif steps:
Outputs available for downstream steps: verdict, score, findings, critical, high, sarif-file.
# Build the image
docker build -t judges .
docker run --rm -v $(pwd):/code judges eval --file /code/app.ts
cat api.py | docker run --rm -i judges eval --language python
docker run --rm judges list
git clone https://github.com/KevinRabun/judges.git
cd judges npm install npm run build
Run the included demo to see all 45 judges evaluate a purposely flawed API server:
npm run demo
This evaluates examples/sample-vulnerable-api.ts — a file intentionally packed with security holes, performance anti-patterns, and code quality issues — and prints a full verdict with per-judge scores and findings.
The demo now also includes an App Builder Workflow (3-step) section. In a single run, you get both tribunal output and workflow output:
Ship now / Ship with caution / Do not ship)P0/P1 itemsSample workflow output (truncated):
╔══════════════════════════════════════════════════════════════╗
║ App Builder Workflow Demo (3-Step) ║ ╚══════════════════════════════════════════════════════════════╝
Decision : Do not ship Verdict : FAIL (47/100) Risk Counts : Critical
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요