xai-mcp-server

xai-mcp-server

3.2

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The xAI MCP Server is a Model Context Protocol server designed to facilitate interaction with xAI's Grok models, offering tools for coding assistance and query answering.

The xAI MCP Server is a robust implementation of a Model Context Protocol (MCP) server that provides a comprehensive suite of tools for interacting with xAI's Grok models. It is designed to enhance coding assistance and general query answering capabilities. The server supports various functionalities, including live search grounding and direct knowledge answering, making it a versatile tool for developers and researchers alike. It is highly configurable, allowing users to set parameters such as model ID, temperature, streaming behavior, and more through environment variables. The server leverages xAI's built-in safety features and includes basic retry logic to handle transient API errors. With its streaming API, the server aims to deliver responsive interactions, making it an ideal choice for real-time applications. The xAI MCP Server is built with Node.js and requires an xAI account with API access, ensuring that users have the necessary credentials to utilize its full potential.

Features

  • Access to xAI's Grok models via numerous MCP tools.
  • Supports Live Search grounding and direct knowledge answering.
  • Configurable model parameters via environment variables.
  • Uses streaming API for better responsiveness.
  • Includes basic retry logic for transient API errors.

Tools

  1. answer_query_websearch

    Answers a natural language query using the configured xAI model enhanced with Live Search results.

  2. answer_query_direct

    Answers a natural language query using only the internal knowledge of the configured xAI model.

  3. explain_topic_with_docs

    Provides a detailed explanation for a query about a specific software topic by synthesizing information primarily from official documentation found via Live Search.

  4. get_doc_snippets

    Provides precise, authoritative code snippets or concise answers for technical queries by searching official documentation.

  5. generate_project_guidelines

    Generates a structured project guidelines document (Markdown) based on a specified list of technologies, using Live Search for best practices.