xAI Grok MCP Bridge
Enables using the xAI Grok CLI as an MCP sub-agent for code review, asking questions, and continuing conversations within MCP hosts like Claude Code.
README
x.ai Grok CLI MCP Bridge
Use the local grok CLI as an MCP sub-agent from Claude Code or any MCP host.
This server wraps the documented x.ai headless scripting mode. The generic tools use JSON output,
while grok_code_review uses plain output because it produced better review results in practice.
grok --no-auto-update --prompt-file /tmp/prompt.md --cwd /path/to/project --output-format json
Requirements
- Python 3.10+
grokonPATH- Auth already configured with
grok login, or an environment supported by the CLI such asXAI_API_KEY - Optional:
GROK_CLI_PATHifgrokis not onPATH
GROK_CLI_PATH is strict: bare commands resolve through PATH, while path values must point to an
executable file. Directories and non-executable files are rejected.
Install
cd /Users/zvisegal/devlope/XAIMsp
/opt/homebrew/bin/python3.12 -m venv .venv
. .venv/bin/activate
python -m pip install --upgrade pip
pip install -e ".[dev]"
pytest -q -p no:cacheprovider
ruff check --no-cache .
MCP Host Config
Add this server to the MCP host config. Prefer the project venv Python:
{
"mcpServers": {
"xai": {
"command": "/Users/zvisegal/devlope/XAIMsp/.venv/bin/python",
"args": ["/Users/zvisegal/devlope/XAIMsp/server.py"]
}
}
}
Tools
grok_ask(prompt, workspace?, timeout_s?, model?, session_id?, max_turns?, reasoning_effort?, rules?, raw_output?)grok_continue(prompt, workspace?, timeout_s?, model?, resume?, max_turns?, reasoning_effort?, rules?, raw_output?)grok_code_review(code_or_diff, question?, primary_analysis?, workspace?, timeout_s?, model?, max_findings?, reasoning_effort?, self_check?, raw_output?)grok_version()
workspace defaults to the MCP server's current directory. Pass the project path explicitly when
you want Grok to inspect a specific repo.
Use grok_code_review as a second-opinion reviewer after CodeHelper or manual analysis. It embeds
strict offline-review rules in the prompt, disables web search, and uses --prompt-file.
Advanced parameters:
self_check=true: Passes--checkfor an extra Grok verification loop. Use sparingly because it costs more time and quota.raw_output=true: Returns a debug payload with extracted text, stdout, stderr, return code, and parsed JSON when available.session_idandresume: Useful for explicit Grok session control.session_idshould be a valid UUID for new sessions.rules: Available on generic ask/continue calls. Prefergrok_code_reviewfor second-opinion code review because it already uses the tuned offline-review prompt.
Set XAI_MCP_DEBUG=true only when diagnosing bridge startup or CLI invocation issues.
See CLAUDE_CODE_USAGE.md for the recommended Claude Code workflow and CLAUDE_CODE_UPDATE_GROK_PATH.md for the latest path-handling update.
Security
Grok is an agentic CLI. workspace is a working directory, not a security boundary. The bridge
does not expose --always-approve through MCP tools. Use grok_code_review with focused snippets
or diffs, and verify findings before editing code.
Smoke Test
This makes a real Grok call and may use quota:
python test_smoke.py
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。