MCP server for XAI's API services
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# Grok-MCP MCP server for xAI's Grok API with agentic tool calling, image generation, vision, and reasoning models. <a href="https://glama.ai/mcp/servers/@merterbak/Grok-MCP"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@merterbak/Grok-MCP/badge" /> </a> ## Features - **Agentic Tool Calling**: Web search, X search, and code execution with multi-step reasoning - **Multiple Grok Models**: Access to Grok-4.1-Fast-Reasoning, Grok-4.1-Fast-Non-Reasoning, Grok-4-Fast, Grok-3-Mini, and more - **Image Generation**: Create images using Grok's image generation model - **Vision Capabilities**: Analyze images with Grok's vision models - **Reasoning Models**: Advanced reasoning with extended thinking models (Grok-4.1-Fast-Reasoning, Grok-3-Mini, Grok-4) - **Stateful Conversations**: Use this newly released feature to maintain conversation context as id across multiple requests ## Prerequisites - Python 3.11 or higher - xAI API key ([Get one here](https://console.x.ai)) - [Astral UV](https://docs.astral.sh/uv/getting-started/installation/) ## Installation 1. Clone the repository: ```bash git clone https://github.com/merterbak/Grok-MCP.git cd Grok-MCP ``` 2. Create a venv environment: ```bash uv venv source .venv/bin/activate # macOS/Linux or .venv\Scripts\activate on Windows ``` 3. Install dependencies: ```bash uv sync ``` ## Configuration ### Claude Desktop Integration Add this to your Claude Desktop configuration file: ```json { "mcpServers": { "grok": { "command": "uv", "args": [ "--directory", "/path/to/Grok-MCP", "run", "python", "main.py" ], "env": { "XAI_API_KEY": "your_api_key_here" } } } } ``` ### Filesystem MCP (Optional) Claude Desktop can't send uploaded images in the chat to an MCP tool. The easiest way to give access to files directly from your computer is official Filesystem MCP server. After setting it up you’ll be able to just write th…
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