x.ai Grok MCP Server
# x.ai Grok MCP Server
Model Context Protocol (MCP) server for interacting with x.ai Grok API.
## Features
- Chat completions via x.ai Grok API
- Support for multiple Grok models (grok-beta, grok-2-latest, grok-4-latest)
- System and user message support
- Configurable temperature and max tokens
- Secure API key management via 1Password CLI
## Installation
### Via npm
```bash
npx -y mcp-server-xai-grok
```
### Local Development
```bash
git clone https://github.com/darkangelpraha/xai-grok-mcp-server.git
cd xai-grok-mcp-server
npm install
npm run build
npm start
```
## Configuration
### Claude Desktop
Add to `~/Library/Application Support/Claude/claude_desktop_config.json`:
```json
{
"mcpServers": {
"xai-grok": {
"command": "/usr/local/bin/npx",
"args": ["-y", "mcp-server-xai-grok"],
"env": {
"XAI_API_KEY": "op://AI/API Credentials | Grok Business/API KEY"
},
"description": "x.ai Grok API MCP server for chat completions"
}
}
}
```
### Environment Variables
- `XAI_API_KEY` (required): Your x.ai API key. Use 1Password CLI reference: `op://AI/API Credentials | Grok Business/API KEY`
## Usage
### Available Tools
#### `chat_completion`
Send a chat completion request to x.ai Grok API.
**Parameters:**
- `messages` (required): Array of chat messages with `role` and `content`
- `model` (optional): Model to use (`grok-beta`, `grok-2-latest`, `grok-4-latest`). Default: `grok-4-latest`
- `temperature` (optional): Sampling temperature (0-2). Default: 1.0
- `max_tokens` (optional): Maximum tokens to generate
**Example:**
```json
{
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Hello, how are you?"
}
],
"model": "grok-4-latest",
"temperature": 0.7
}
```
## Testing
### With MCP Inspector
```bash
npx -y @modelcontextprotocol/inspector npx -y mcp-server-xai-grok
```
### Local Testing
```bash
# Set API key
export XAI_API_KEY="your-api-key-here"
# Run server
npm run dev
```
## Requirements
- Node.js 20.0.0 or higher
- x.ai API key with credits/licenses
## License
MIT
## Author
darkangelpraha
## Repository
https://github.com/darkangelpraha/xai-grok-mcp-server
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as sending chat completion requests to the x.ai Grok API, making it distinct by default.
The single tool name 'chat_completion' follows a clear and consistent verb_noun pattern. Since there are no other tools to compare against, there is no inconsistency in naming conventions.
A single tool is too few for a server named 'x.ai Grok MCP Server', which suggests a broader scope for interacting with the Grok API. This minimal toolset feels thin and limits functionality, as it only covers chat completions without obvious support for other potential operations like model listing or configuration.
The tool surface is severely incomplete for the inferred domain of an AI chat API. While chat completions are a core function, there are significant gaps such as missing tools for managing models, handling conversations, or performing other API interactions, which could lead to agent failures in broader tasks.