Grok Chat MCP
About
MCP server for xAI Grok API — chat, vision, search, and embeddings (Rust, stdio)
Details
- Author
- codechap
- Categories
- Developer Tools, AI, Other, Search
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Setup
Install Grok Chat MCP in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/codechap/mcp-server-grok-chat
Follow the installation instructions in the repository README, then restart your MCP client.
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.
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 containingmulti-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. Usereasoning_effortto control agent count. Call thelist_modelstool to see which multi-agent models are currently available.
Analyse an image using Grok's vision capabilities.
Chat with Grok using live web search and/or X (Twitter) search. The model automatically searches the internet to ground its response.
List all available Grok models. No parameters. Results are cached for 5 minutes.
- Rust (edition 2024)
- An xAI API key fromconsole.x.ai
Create~/.config/mcp-server-grok-chat/config.toml:
This producestarget/release/grok-chat.
cargo build # debug build cargo run # run in dev mode RUST_LOG=debug cargo run # run with debug logging
Add to your Claude Desktop config (~/.config/Claude/claude_desktop_config.json):
{ "mcpServers": { "grok-chat": { "command": "/path/to/grok-chat" } } }
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
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