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joemccann

xAI MCP Server

by joemccann

xAI MCP Server

A Model Context Protocol (MCP) server that brings xAI's Grok APIs to Claude Code. Generate images, chat with Grok, analyze images, search the web, and create videos—all from natural language prompts in your Claude Code session.

Features

Tool

Description

generate_image

Generate images using Grok Imagine

chat

Chat with Grok models (grok-3, grok-4, grok-3-mini)

analyze_image

Analyze and describe images with Grok Vision

live_search

Real-time web, news, and X/Twitter search

generate_video

Generate videos from text prompts

Prerequisites

  • Node.js 18.0.0 or higher

  • xAI API Key from x.ai/api

  • Claude Code installed

Installation

curl -fsSL https://raw.githubusercontent.com/joemccann/xai-mcp-server/main/install.sh | bash

This installs the server and automatically configures Claude Code. You'll be prompted for your xAI API key.

Option 2: npx from GitHub

No installation needed - runs directly from GitHub:

npx github:joemccann/xai-mcp-server

Option 3: npm Global Install

npm install -g @joemccann/xai-mcp-server

Option 4: Clone and Build

git clone https://github.com/joemccann/xai-mcp-server.git cd xai-mcp-server npm install

Configuration for Claude Code

Step 1: Get Your xAI API Key

  1. Go to x.ai/api

  2. Sign up or log in

  3. Create an API key

  4. Copy the key (starts with xai-)

Step 2: Configure Claude Code

Note: If you used the Quick Install (Option 1), this is already done for you.

Add the MCP server using the Claude CLI:

claude mcp add xai -e XAI_API_KEY=xai-your-key-here -- node ~/.xai-mcp-server/dist/index.js

For nvm users, use the absolute path to node:

claude mcp add xai -e XAI_API_KEY=xai-your-key-here -- $(which node) ~/.xai-mcp-server/dist/index.js

Verify it's configured:

claude mcp list

You should see:

xai: ... - ✓ Connected

Step 3: Restart Claude Code

Restart Claude Code to load the new MCP server. You should see the xAI tools available.

Usage

Once configured, you can use natural language to invoke xAI capabilities:

Image Generation

Generate an image of a cyberpunk cityscape at night with neon lights.
Using grok imagine, create a watercolor painting of a mountain landscape.
Generate 3 variations of a logo for a coffee shop called "Bean There".

Chat with Grok

Ask Grok to explain the theory of relativity in simple terms.
Have Grok write a haiku about programming.

Image Analysis

Analyze this image and describe what you see: https://example.com/photo.jpg
What text is visible in this screenshot: [image URL]
Search for the latest news about SpaceX launches.
Find recent tweets about the new iPhone release.
Search the web for Python best practices 2024.

Video Generation

Generate a 5-second video of clouds moving across a blue sky.
Create a video animation of a bouncing ball.

Tool Reference

generate_image

Generate images from text descriptions using Grok Imagine.

Parameter

Type

Required

Default

Description

prompt

string

Yes

-

Text description of the image

n

number

No

1

Number of images (1-10)

model

string

No

grok-2-image-1212

Image generation model

aspect_ratio

string

No

-

Aspect ratio (e.g., "16:9", "1:1", "4:3")

response_format

string

No

url

Output format: "url" or "b64_json"

Example Response:

{ "success": true, "images": [ { "index": 1, "url": "https://api.x.ai/images/generated/abc123.png", "revised_prompt": "A detailed cyberpunk cityscape..." } ] }

chat

Chat with Grok language models.

Parameter

Type

Required

Default

Description

message

string

Yes

-

Message to send to Grok

model

string

No

grok-3

Model: grok-3, grok-4, grok-3-mini

system_prompt

string

No

-

System context/instructions

temperature

number

No

0.7

Sampling temperature (0-2)

max_tokens

number

No

-

Maximum response tokens

analyze_image

Analyze images using Grok's vision capabilities.

Parameter

Type

Required

Default

Description

image_url

string

Yes

-

Image URL or base64 data URL

prompt

string

No

"Describe this image"

Question or instruction

detail

string

No

auto

Detail level: "low", "high", "auto"

model

string

No

grok-2-vision-1212

Vision model

Perform real-time web searches using Grok.

Parameter

Type

Required

Default

Description

query

string

Yes

-

Search query

sources

array

No

["web"]

Sources: "web", "news", "x"

date_range

object

No

-

Date filter: { start, end } (YYYY-MM-DD)

max_results

number

No

10

Maximum results (1-20)

generate_video

Generate videos from text descriptions.

Parameter

Type

Required

Default

Description

prompt

string

Yes

-

Video description

model

string

No

grok-imagine-video

Video generation model

duration

number

No

5

Duration in seconds (1-15)

image

string

No

-

Input image URL to animate

video

string

No

-

Input video URL to edit

aspect_ratio

string

No

-

Aspect ratio (e.g., "16:9")

wait_for_completion

boolean

No

true

Wait for video to finish

Development

# Install dependencies npm install # Build TypeScript npm run build # Watch mode (rebuild on changes) npm run dev # Run the server directly npm start

Testing

This project includes comprehensive unit tests with pretty table output:

# Run unit tests (mocked, no API calls) npm run test # Run tests with detailed output (shows every individual test) npm run test:detailed # Run tests in watch mode npm run test:watch # Run tests with coverage report npm run test:coverage # Run integration tests (requires XAI_API_KEY, makes real API calls) npm run test:integration

Test Output Features:

  • Color-coded results with status indicators (✓ PASS, ✗ FAIL)

  • Performance metrics showing slowest/fastest test files

  • Summary table with total stats

  • Detailed mode shows individual test durations and suite hierarchy

  • All tests use mocked APIs by default (no cost, no API key needed)

Project Structure

xai-mcp-server/ ├── src/ │ ├── index.ts # MCP server entry point │ ├── xai-client.ts # xAI API client with types │ └── tools/ │ ├── generate-image.ts │ ├── chat.ts │ ├── vision.ts │ ├── live-search.ts │ └── generate-video.ts ├── dist/ # Compiled JavaScript ├── package.json ├── tsconfig.json └── README.md

Troubleshooting

"XAI_API_KEY environment variable is required"

Re-add the MCP server with your API key:

claude mcp remove xai claude mcp add xai -e XAI_API_KEY=xai-your-key-here -- $(which node) ~/.xai-mcp-server/dist/index.js

Tools not appearing in Claude Code

  1. Run claude mcp list to check server status

  2. If not listed, add it with claude mcp add (see Step 2 above)

  3. For nvm users, use absolute node path: $(which node)

  4. Ensure the project is built (npm run build)

  5. Restart Claude Code completely

API errors

  • Verify your API key is valid at x.ai

  • Check you have sufficient API credits

  • Some features may require specific API tier access

API Reference

This server uses the xAI API. For full API documentation, see:

License

MIT

Contributing

Contributions welcome! Please open an issue or submit a pull request.

Acknowledgments

Install Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

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