merterbak/Grok-MCP

Overview

Grok-MCP is a Python-based MCP server that wraps xAI's Grok API, enabling agentic tool calling alongside image and video generation, vision analysis, and file handling. It exposes Grok's capabilities as standardized tools for MCP-compatible clients.

Best for

Best for
Developers building MCP-compatible agents or workflows that need access to Grok's multimodal generation

Use cases

• Integrate Grok's multimodal generation into MCP-enabled workflows
• Orchestrate agentic tool calls with Grok's API
• Enable vision and file analysis via a standardized MCP interface

How to use

Tools exposed

• uv
• git
• python
• claude
• docker

Tested with

Claude Desktop, Claude Code

Example client config

{\n  "mcpServers": {\n    "grok": {\n      "command": "uv",\n      "args": [\n        "--directory",\n        "/path/to/Grok-MCP",\n        "run",\n        "python",\n        "main.py"\n      ],\n      "env": {\n        "XAI_API_KEY": "your_api_key_here"\n      }\n    }\n  }\n}

Notes

Grok-MCP is a Python-based MCP server that wraps xAI’s Grok API, enabling agentic tool calling alongside image and video generation, vision analysis, and file handling. It exposes Grok’s capabilities as standardized tools for MCP-compatible clients.

33 stars on GitHub. Last updated 2026-05-23. Licensed MIT.

Use cases

• Integrate Grok’s multimodal generation into MCP-enabled workflows
• Orchestrate agentic tool calls with Grok’s API
• Enable vision and file analysis via a standardized MCP interface

Pros

• Bridges Grok’s API to the MCP ecosystem for easier integration
• Supports multiple generation modes (text, image, video)
• Open source with a clean Python codebase

Cons

• Low community traction (33 stars) may indicate limited adoption or support
• Depends on xAI’s Grok API availability and usage limits
• Minimal documentation beyond the repository readme

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.