Grok MCP
A MCP server for xAI's Grok API, providing access to capabilities including image understanding, image generation, live web search, and reasoning models.
Grok-MCP
MCP server for xAI's Grok API with agentic tool calling, image and video generation, vision, and file support.
Features
- Agentic Tool Calling: Web search, X search, and code execution with multi-step reasoning
- Multiple Grok Models: Access to latest models such as grok-4.20-0309-reasoning, grok-4-1-fast-reasoning and more
- Image and Video Generation: Create images and videos using Grok Imagine
- Vision Capabilities: Analyze images with Grok's vision models
- Files API: Upload, manage, and chat with documents
- Stateful Conversations: Maintain conversation context as id across multiple requests
- Local Chat History: Option to save persistent client side chat history as JSON files in chats/
Prerequisites
- Python 3.11 or higher
- xAI API key (Get one here)
- Astral UV
Installation
- Clone the repository:
git clone https://github.com/merterbak/Grok-MCP.git
cd Grok-MCP
- Create a venv environment:
uv venv
source .venv/bin/activate # macOS/Linux or .venv\Scripts\activate on Windows
- Install dependencies:
uv sync
Configuration
Claude Desktop Integration
Add this to your Claude Desktop configuration file:
{
"mcpServers": {
"grok": {
"command": "uv",
"args": [
"--directory",
"/path/to/Grok-MCP",
"run",
"python",
"main.py"
],
"env": {
"XAI_API_KEY": "your_api_key_here"
}
}
}
}
Claude Code Integration
Run this command from inside the project directory:
claude mcp add grok-mcp -e XAI_API_KEY=your_api_key_here -- uv run --directory /path/to/Grok-MCP python main.py
Or if you have a .env file with your key:
claude mcp add grok-mcp -- uv run --directory /path/to/Grok-MCP python main.py
Verify it's registered:
claude mcp list
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 the image’s file path (such as /Users/mert/Desktop/image.png) in chat and Claude can use it with any vision chat tool.
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/Users/<your-username>/Desktop",
"/Users/<your-username>/Downloads"
]
}
}
}
For stdio:
uv run python main.py
Docker:
docker compose up --build
Mcp Inspector:
mcp dev main.py
Available Tools
Each tool has a full docstring in src/server.py with its arguments and return format. MCP client surfaces those directly, so this list is just a quick map of what's available.
Note: For using images and files, you must provide paths to chat. See Filesystem MCP (Optional) for setup.
Chat and reasoning
chat— standard chat completion with optional persistent history and multi-agent support.chat_with_vision— analyze local or remote images with a Grok vision model.chat_with_files— chat grounded on previously uploaded documents.stateful_chat— continue a server-side stored conversation viaresponse_id.retrieve_stateful_response— fetch a stored response by ID.delete_stateful_response— delete a stored response by ID.
Agentic tools
web_search— autonomous web research with domain filters and citations.x_search— autonomous search over X (Twitter) posts, with handle and date filters.code_executor— solve tasks by running Python in a sandbox.grok_agent— unified agent that mixes files, images, web search, X search, and code execution.
Image and video
generate_image— create or edit images with Grok Imagine (multi-reference editing supported).generate_video— text-to-video, image-to-video, or video editing with Grok Imagine.extend_video— extend an existing generated video with a follow-up prompt.
Files
upload_file— upload a local document.list_files— list uploaded files with sorting.get_file— fetch file metadata by ID.get_file_content— download file content as text.delete_file— delete a file by ID.
Local chat history
list_chat_sessions— list saved sessions inchats/.get_chat_history— get a session's full transcript.clear_chat_history— delete a session's local history file.
Models
list_models— list all Grok language and image models with live pricing.
License
This project is open source and available under the MIT License.
Serveurs connexes
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Image Generation MCP Server
An MCP server for generating images using the Replicate API and the Flux model.
QA Radar
MCP server that tells your agent which files to test first — git churn, coverage gaps, and test mapping as per-file risk scores.
mcpo+OpenWebUI
A secure MCP-to-OpenAPI proxy server that converts MCP tools into OpenAPI compatible HTTP servers, with support for multiple server types and automatic API documentation.
Gru Sandbox
Gru-sandbox(gbox) is an open source project that provides a self-hostable sandbox for MCP integration or other AI agent usecases.
TokenCost
An MCP (Model Context Protocol) server that provides real-time LLM token pricing data for 60+ AI models across 15 providers.
OpenAPI to MCP Server
A server that converts OpenAPI specifications into the Model Context Protocol (MCP).
BundlerMCP
Query information about dependencies in a Ruby project's Gemfile.
Dev Manager
A development management tool for project planning, task management, and development workflows.
Gemini MCP
Integrate the full power of Gemini Pro 3 to Claude Code
llm-advisor-mcp
Real-time LLM/VLM model comparison with benchmarks, pricing, and personalized recommendations from 5 data sources. No API key required.