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Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
제작자가 쓴 설명(영어 원문)
Use xAI Grok as a peer reviewer + PR gate from Claude Code, Cursor, Cline and any MCP host.
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": {
"grok": {
"command": "npx",
"args": [
"-y",
"grok-cli-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add grok -- npx -y grok-cli-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"grok": {
"command": "npx",
"args": [
"-y",
"grok-cli-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"grok": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"grok-cli-mcp"
]
}
}
}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 8일 점검
레지스트리 이름이 GitHub 계정 howardpen9 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(0.2.0)은 5개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Use Grok as a peer code reviewer and rigorous second-opinion consultant inside Claude Code, Cursor, Cline, OpenClaw, and any other MCP host — talking to xAI's API directly (just an
XAI_API_KEY, no install) or via the official Grok CLI.
grok-mcp (npm: grok-cli-mcp) is a Model Context Protocol server for Grok. It gives your primary agent (Claude, Cursor, etc.) four tools so it can delegate to Grok for high-quality second opinions and rigorous validation without leaving the session. As of v0.3.0 it talks to xAI's API directly — no grok binary required — and still supports the CLI for OAuth users:
grok_review — structured diff review with per-dimension scoresgrok_challenge — thorough analysis for bugs, races, edge cases and security issuesgrok_consult — multi-turn consultation (caller owns history)grok_chat — one-shot questionsEnglish | 繁體中文
Most "Grok MCP" packages expose Grok's chat/search/image capabilities so Claude can *use* Grok. grok-mcp lets your main coding agent (Claude/Cursor/…) ask Grok for a rigorous second opinion on its own work. A different model providing thorough review often catches issues that single-model loops miss.
Four tools, all stateless, all stdout-only:
| Tool | Use it for |
|---|---|
grok_chat | One-shot prompt → Grok's reply |
grok_review | Pass a unified diff (or auto-grab git diff main...HEAD) and get a per-dimension code review |
grok_consult | Replay a message history for multi-turn — caller owns the thread |
grok_challenge | Rigorous analysis: ask Grok to surface bugs, race conditions, edge cases, and security issues |
XAI_API_KEY from console.x.ai. The server calls xAI's HTTP API directly — no extra binary needed.XAI_API_KEY is set: bash curl -fsSL https://x.ai/cli/install.sh | bash Then authenticate with browser OAuth (run grok once interactively). See Authentication below.npm install -g grok-cli-mcp
npx grok-cli-mcp
Why the npm name is `grok-cli-mcp` instead of `grok-mcp`? The bare
grok-mcpname on npm was already taken by an unrelated project (a Grok HTTP-API integration). The brand, GitHub repo, and MCP server identity staygrok-mcp; only the npm install identifier isgrok-cli-mcp— chosen to highlight that this server wraps the official Grok CLI.
There are two auth methods, each tied to a backend:
| Method | Backend | Best for | Rate limits |
|---|---|---|---|
API key (XAI_API_KEY env var) | API mode — no grok binary needed | MCP / CI / automation | Pay-per-call, no subscription cap |
Browser OAuth (grok interactive login) | CLI mode | Local interactive use | Subject to your grok.com plan tier |
Setting XAI_API_KEY switches the server to API mode, so you can keep your browser login for interactive grok use and use a key *just for this MCP server* via its env block:
{
"mcpServers": { "grok": { "command": "npx", "args": ["-y", "grok-cli-mcp"], "env": { "XAI_API_KEY": "xai-...", "GROK_MCP_TIMEOUT": "600000" } } } }
Treat the key file as a secret — it ends up in your MCP host's config (e.g. ~/.claude.json), which is plain JSON on disk.
Recommended — use add-json so the env block parses cleanly:
claude mcp add-json -s user grok '{
"command": "npx", "args": ["-y", "grok-cli-mcp"], "env": { "XAI_API_KEY": "xai-...", "GROK_MCP_TIMEOUT": "600000" } }'
Why `add-json` not `claude mcp add -e ...`? The
-e KEY=valflag is variadic and will greedily consume the server name as another env value if you pass more than one.add-jsonsidesteps that footgun entirely.
Or edit ~/.claude.json directly. Minimal (OAuth fallback):
{
"mcpServers": { "grok": { "command": "npx", "args": ["-y", "grok-cli-mcp"] } } }
Create .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": { "grok": { "command": "npx", "args": ["-y", "grok-cli-mcp"] } } }
Settings → Cline → MCP Servers:
{
"grok": { "command": "npx", "args": ["-y", "grok-cli-mcp"] } }
Claude Desktop still supports local stdio servers: Settings → Developer → Edit Config (claude_desktop_config.json), then paste the same JSON block as Claude Code above.
Claude's Settings → Connectors → Add custom connector dialog needs an HTTPS URL, not a command — so deploy the bundled Streamable HTTP server and paste its URL:
# 1. Generate a path secret (keeps strangers from spending your xAI credits)
openssl rand -base64 32 | tr '+/' '-_'
docker build -t grok-mcp . && docker run \ -e XAI_API_KEY=xai-... \ -e GROK_MCP_PATH_SECRET= \ -p 3000:3000 grok-mcp
XAI_API_KEY=xai-... GROK_MCP_PATH_SECRET= npx -y -p grok-cli-mcp grok-mcp-http
Then add the connector in Claude with the URL:
https://your-host.example.com/mcp/<secret-from-step-1>
No OAuth needed — leave the Client ID/Secret fields blank. Claude only starts an OAuth flow if the server asks for it.
Remote-mode notes:
git diff is disabled in remote mode.GET /health is available for platform health checks; see .env.example for all knobs (GROK_MCP_ALLOWED_HOSTS, GROK_MCP_CORS_ORIGINS, ...).grok-mcp speaks plain stdio MCP. Point any client at npx -y grok-cli-mcp and it works. HTTP hosts can point at the remote endpoint above instead.
grok_chat{ "prompt": "Explain consistent hashing in two sentences." }
Optional: model to override the default Grok model; timeout (seconds) to extend the per-call limit for long grok-4 reasoning. All four tools accept timeout.
grok_review{ "base_ref": "main", "focus": "security" }
If diff is omitted, runs git diff ...HEAD in cwd (defaults to your host's working directory). Returns a markdown review by default with verdict, per-dimension scores (correctness / readability / architecture / security / performance), and concrete fix-it items.
Pass "format": "json" to get machine-parseable output suitable for CI gating — see Use as a PR gate.
grok_consult{
"messages": [ { "role": "system", "content": "You are a senior backend engineer." }, { "role": "user", "content": "How would you cache this query?" }, { "role": "assistant", "content": "Two options..." }, { "role": "user", "content": "What's the failure mode of option 2?" } ] }
The server is stateless — the caller passes the full thread each time. Most MCP hosts handle this naturally.
grok_challenge{
"code": "function transfer(from, to, amount) { from.balance -= amount; to.balance += amount; }", "context": "Node.js, called concurrently from HTTP handlers" }
Returns severity-ranked issues (Critical / High / Medium / Low) with concrete reproductions and patches.
| Env var | Default | Purpose |
|---|---|---|
XAI_API_KEY | *(unset — falls back to OAuth)* | API key from console.x.ai. When set, the server uses API mode (direct HTTP) and bills pay-per-call with no subscription rate cap. See Authentication. |
GROK_MCP_BACKEND | auto | Which backend to use: api (direct HTTP), cli (shell out to grok), or auto (API when XAI_API_KEY is set, else CLI). See Backends. |
GROK_MCP_MODEL | grok-4 | Model used in API mode. (CLI mode reads ~/.grok/config.toml.) |
GROK_MCP_BASE_URL | https://api.x.ai/v1 | API base URL — point at a proxy or compatible gateway in API mode. |
GROK_MCP_BIN | grok | Path to the grok binary (CLI mode only) |
GROK_MCP_TIMEOUT | 300000 | Default per-call timeout in milliseconds |
The server can reach Grok two ways and chooses one at startup (it logs which to stderr):
/chat/completions endpoint directly using Node's built-in fetch. No grok binary required, cleaner errors, pay-per-call. Selected when XAI_API_KEY is set, or forced with GROK_MCP_BACKEND=api.grok binary (supports browser OAuth). Selected when no XAI_API_KEY is set, or forced with GROK_MCP_BACKEND=cli.Force a mode with GROK_MCP_BACKEND. In API mode, set the model with GROK_MCP_MODEL; in CLI mode, model defaults live in ~/.grok/config.toml.
grok-4 is a reasoning model and long prompts routinely take longer than two minutes. The server's default per-call limit is 300s (5 min). You can change it three ways:
timeout (seconds) to any tool: { "prompt": "...", "timeout": 600 }.GROK_MCP_TIMEOUT (milliseconds) in the MCP server's env.MCP_TIMEOUT (server startup) and MCP_TOOL_TIMEOUT (per tool call), both in milliseconds.On timeout the error includes any partial output Grok produced before the deadline, so you don't lose a near-complete answer.
grok-mcp ships a grok-review-ci bin and a composite GitHub Action so Grok can review every PR and fail the check on block.
Drop this into .github/workflows/grok-review.yml in your repo:
name: Grok review
on: { pull_request: { branches: [main] } } permissions: { contents: read, pull-requests: write } jobs: grok: runs-on: ubuntu-latest if: ${{ github.event.pull_request.head.repo.full_name == github.repository }} steps:
The action posts a sticky PR comment with verdict +
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요