Grok Mcp

io.github.howardpen9由 GitHub 帳號 howardpen9 發布v0.2.0更新於 Oct 24, 2026

Use xAI Grok as a peer reviewer + PR gate from Claude Code, Cursor, Cline and any MCP host.

發布方自己的服務:Surface

已驗證STDIO僅桌面開發者工具AI 與機器學習

概覽

AI 產生的概覽

讓編碼助理把程式碼審查、缺陷排查與第二意見交給 xAI 的 Grok,可透過 xAI API 或 Grok CLI 呼叫。

可以做什麼
  • 向 Grok 提出一次性問題並取得回覆
  • 審查統一 diff 或本機 git diff(對比基準分支),給出結論與各面向評分
  • 針對程式碼片段排查缺陷、競態、邊界情況與安全性問題,並依嚴重程度排序
  • 進行多輪諮詢,由呼叫方傳入完整訊息歷史
  • 審查結果可輸出為 Markdown 或供 CI 判定的 JSON
適用情境
適合希望由另一個模型複核助理自身產出、找出單一模型迴圈容易漏掉的問題,或依 Grok 結論對 PR 做閘門的場景。可用於 Claude Code、Cursor、Cline 等 MCP 宿主。
執行需求
需要 Node.js 18 或更新版本,透過 npx 或全域 npm 安裝後在本機執行。需要 console.x.ai 的 XAI_API_KEY(API 模式,建議使用),或安裝 Grok CLI 並以瀏覽器 OAuth 登入。選用環境變數可指定後端、模型、基礎 URL、二進位檔路徑與逾時。
安裝前請注意
API 金鑰會寫入 MCP 宿主的純文字 JSON 設定,應將該檔案視為機密;API 模式按呼叫計費,從你的 xAI 帳戶扣款。審查程式碼會把程式碼傳送給 xAI。選用的遠端 HTTP 模式依賴路徑密鑰保護你的 xAI 帳單,應視為憑證。未提供 diff 時,伺服器會在工作目錄執行 git diff。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Grok Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

[grok-mcp — MCP server that lets Claude use Grok as a peer reviewer and second-opinion consultant]

grok-mcp

[npm version] [MCP Registry]

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 scores
  • grok_challenge — thorough analysis for bugs, races, edge cases and security issues
  • grok_consult — multi-turn consultation (caller owns history)
  • grok_chat — one-shot questions

English | 繁體中文

Why grok-mcp?

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.

What you get

Four tools, all stateless, all stdout-only:

ToolUse it for
grok_chatOne-shot prompt → Grok's reply
grok_reviewPass a unified diff (or auto-grab git diff main...HEAD) and get a per-dimension code review
grok_consultReplay a message history for multi-turn — caller owns the thread
grok_challengeRigorous analysis: ask Grok to surface bugs, race conditions, edge cases, and security issues

Prerequisites

  • Node.js ≥ 18
  • A backend (the server picks one automatically — see Backends):
    • API mode (recommended, zero install): an XAI_API_KEY from console.x.ai. The server calls xAI's HTTP API directly — no extra binary needed.
    • CLI mode: the Grok CLI installed, used when no 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.

Install

bash
npm install -g grok-cli-mcp# or use npx — no install needednpx grok-cli-mcp

Why the npm name is grok-cli-mcp instead of grok-mcp? The bare grok-mcp name on npm was already taken by an unrelated project (a Grok HTTP-API integration). The brand, GitHub repo, and MCP server identity stay grok-mcp; only the npm install identifier is grok-cli-mcp — chosen to highlight that this server wraps the official Grok CLI.

Authentication

There are two auth methods, each tied to a backend:

MethodBackendBest forRate limits
API key (XAI_API_KEY env var)API mode — no grok binary neededMCP / CI / automationPay-per-call, no subscription cap
Browser OAuth (grok interactive login)CLI modeLocal interactive useSubject 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:

json
{  "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.

Wire it into your MCP host

Claude Code

Recommended — use add-json so the env block parses cleanly:

bash
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=val flag is variadic and will greedily consume the server name as another env value if you pass more than one. add-json sidesteps that footgun entirely.

Or edit ~/.claude.json directly. Minimal (OAuth fallback):

json
{  "mcpServers": {    "grok": {      "command": "npx",      "args": ["-y", "grok-cli-mcp"]    }  }}

Cursor

Create .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

json
{  "mcpServers": {    "grok": {      "command": "npx",      "args": ["-y", "grok-cli-mcp"]    }  }}

Cline (VS Code)

Settings → Cline → MCP Servers:

json
{  "grok": {    "command": "npx",    "args": ["-y", "grok-cli-mcp"]  }}

Claude Desktop (local, no hosting needed)

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 Web / Claude Desktop connectors (remote, v0.4+)

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:

bash
# 1. Generate a path secret (keeps strangers from spending your xAI credits)openssl rand -base64 32 | tr '+/' '-_'
# 2. Deploy anywhere that runs Node (Railway / Fly / Render / a VPS).#    A multi-stage Dockerfile ships in the repo:docker build -t grok-mcp . && docker run \  -e XAI_API_KEY=xai-... \  -e GROK_MCP_PATH_SECRET=<secret-from-step-1> \  -p 3000:3000 grok-mcp
# ...or without Docker:XAI_API_KEY=xai-... GROK_MCP_PATH_SECRET=<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:

  • Treat the URL as a credential. The path secret is what stands between the internet and your xAI bill. Rotate it by changing the env var.
  • grok_review needs an explicit diff over HTTP — the server can't see your local repo, so auto git diff is disabled in remote mode.
  • Keep GROK_MCP_TIMEOUT below your platform's request timeout (and disable scale-to-zero) — grok-4 reasoning can run for minutes.
  • GET /health is available for platform health checks; see .env.example for all knobs (GROK_MCP_ALLOWED_HOSTS, GROK_MCP_CORS_ORIGINS, ...).

Any other MCP host

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.

Tool reference

grok_chat

json
{ "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

json
{ "base_ref": "main", "focus": "security" }

If diff is omitted, runs git diff <base_ref>...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

json
{  "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

json
{  "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.

Configuration

Env varDefaultPurpose
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_BACKENDautoWhich 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_MODELgrok-4Model used in API mode. (CLI mode reads ~/.grok/config.toml.)
GROK_MCP_BASE_URLhttps://api.x.ai/v1API base URL — point at a proxy or compatible gateway in API mode.
GROK_MCP_BINgrokPath to the grok binary (CLI mode only)
GROK_MCP_TIMEOUT300000Default per-call timeout in milliseconds

Backends

The server can reach Grok two ways and chooses one at startup (it logs which to stderr):

  • API mode — calls xAI's OpenAI-compatible /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.
  • CLI mode — shells out to the installed 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.

Timeouts

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:

  • Per call — pass timeout (seconds) to any tool: { "prompt": "...", "timeout": 600 }.
  • Per server — set GROK_MCP_TIMEOUT (milliseconds) in the MCP server's env.
  • Host side — the MCP host has its own request timeout that can fire before the server's. If calls still time out after raising the above, raise the host limit too. In Claude Code that's 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.

Use as a PR gate (CI)

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:

yaml
name: Grok reviewon: { 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:      - uses: actions/checkout@v4        with: { fetch-depth: 0 }      - uses: howardpen9/grok-mcp/.github/actions/grok-review@main        with:          xai-api-key: ${{ secrets.XAI_API_KEY }}          gate-on: block      # also accepts: block,request_changes          # focus: security   # optional          # min-score: 6      # optional — fail any dimension below this

The action posts a sticky PR comment with verdict + per-dimension scores + concrete blockers, and exits non-zero (failing the check) when the verdict matches gate-on. Full example with comments: examples/workflows/grok-review.yml.

Want JSON straight from the tool instead? Pass format: "json" to grok_review — same schema as the bin emits, suitable for any pipeline:

json
{  "verdict": "block",  "summary": "Unparameterised SQL query in src/db.ts.",  "scores": { "correctness": 4, "readability": 7, "architecture": 5, "security": 2, "performance": 8 },  "blockers": [    { "severity": "critical", "title": "SQL injection", "file": "src/db.ts", "line": 42,      "reason": "User input concatenated directly into the query.",      "fix": "Use the parameterised form `db.query(sql, [userId])`." }  ],  "notes": []}

Roadmap

  • v0.1 — four stateless tools, stdio transport
  • Discoverability push (v0.1.3, shipped) — naming unification, MCP Registry, Smithery, glama.ai, stronger positioning. See docs/improvement-plan.md and CHANGELOG.md.
  • v0.2 (shipped) — grok_review JSON mode + grok-review-ci bin + GitHub Action for PR gating.
  • v0.3 (shipped) — direct xAI API backend (no grok CLI required); GROK_MCP_BACKEND api/cli/auto.
  • v0.4 (current) — remote MCP mode: grok-mcp-http Streamable HTTP server for Claude Web / Claude Desktop custom connectors, with path-secret auth, Dockerfile, and .env.example.
  • v0.5 — server-side session persistence so grok_consult can take a conversation_id
  • v0.6 — streaming responses through MCP progress notifications; OAuth + per-user key store for shared hosted instances

Development

bash
git clone https://github.com/howardpen9/grok-mcp.gitcd grok-mcpnpm installnpm testnpm run build

Contact

Bug reports & feature requests → GitHub issues. DMs welcome on X: @0xHoward_Peng.

License

MIT

來源:README.md,提交 4386c44

工具

0
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版本歷史

1
  1. v0.2.0最新Sep 16, 2026

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其他 Grok 整合