Power your agent
Instal dari penerbit. Bukan endpoint PlugMCP.
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Jalankan di PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
BukaDari penerbit
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.
MCP server for the xAI Grok API — chat, vision, search, and embeddings
| Tool | Description |
|---|---|
chat | Send a chat completion request to Grok with optional multi-turn history, system prompt, structured output (JSON schema), model selection, and multi-agent research |
chat_with_vision | Analyse an image with Grok's vision capabilities given an image URL and text prompt |
chat_with_search | Chat with Grok using live web search and/or X (Twitter) search to ground responses |
embedding | Generate text embeddings using Grok's embedding model |
list_models | List all available Grok models and their IDs (cached for 5 minutes) |
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:
Analyse an image using Grok's vision capabilities.
Parameters:
Chat with Grok using live web search and/or X (Twitter) search. The model automatically searches the internet to ground its response.
Parameters:
Generate text embeddings.
Parameters:
List all available Grok models. No parameters. Results are cached for 5 minutes.
Create the config file:
mkdir -p ~/.config/mcp-server-grok-chat
Create ~/.config/mcp-server-grok-chat/config.toml:
api_key = "xai-..."
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
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
MIT
MCP server for the xAI Grok API — chat, vision, search, and embeddings
Tool
Belum ada daftar tool. Server remote mendapatkannya setelah pemeriksaan kesehatan pertama.
FAQ
Salin konfigurasi stdio untuk Cursor, Claude Desktop, Claude Code, atau VS Code di halaman ini. Konfigurasi ini memakai instalasi dari penerbit, bukan proxy PlugMCP.
Tidak ada variabel lingkungan wajib yang tercantum di catatan ini.
Grok Chat berjalan secara lokal melalui stdio.
Terakhir diperiksa 2026-11-09. MCP server for the xAI Grok API — chat, vision, search, and embeddings
