mcp-server-grok-chat

An MCP (Model Context Protocol) server for the xAI Grok API. Built in Rust, exposes chat completions, vision, web/X search, embeddings, and model listing as MCP tools.

Communicates via stdio using JSON-RPC 2.0, like all MCP servers.

Tools

chat

Send a chat completion request. Supports multi-turn conversations via a JSON message history array, system prompts, structured output via JSON schema, temperature control, model selection, and multi-agent research.

When using a multi-agent model (any model ID containing `multi-agent`), the request is automatically routed through the Responses API. The multi-agent model dispatches your query to multiple agents that research in parallel, then synthesizes their findings. Use `reasoning_effort` to control agent count. Call the `list_models` tool to see which multi-agent models are currently available.

Parameters:

chat_with_vision

Analyse an image using Grok's vision capabilities.

Parameters:

chat_with_search

Chat with Grok using live web search and/or X (Twitter) search. The model automatically searches the internet to ground its response.

Parameters:

embedding

Generate text embeddings.

Parameters:

list_models

List all available Grok models. No parameters. Results are cached for 5 minutes.

Prerequisites

• Rust (edition 2024)
• An xAI API key from console.x.ai

Setup

Create the config file:

mkdir -p ~/.config/mcp-server-grok-chat

Create `~/.config/mcp-server-grok-chat/config.toml`:

api_key = "xai-..."

Build

cargo build --release

This produces `target/release/grok-chat`.

For development:

cargo build              # debug build
cargo run                # run in dev mode
RUST_LOG=debug cargo run # run with debug logging

MCP Configuration

Add to your Claude Desktop config (`~/.config/Claude/claude_desktop_config.json`):

{
  "mcpServers": {
    "grok-chat": {
      "command": "/path/to/grok-chat"
    }
  }
}

Project Structure

src/
  main.rs    - entry point, config loading, stdio transport setup
  server.rs  - MCP tool definitions (chat, chat_with_vision, chat_with_search, embedding, list_models)
  api.rs     - xAI HTTP client, request/response types, response formatters
  params.rs  - tool parameter types with serde and JSON Schema derives
  config.rs  - TOML config loading

License

MIT