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Grok MCP Plugin

@Bob-lance

Repository

Basic information

Category

Developer Tools

License

MIT

Transports

stdio

Author

Bob-lance

About Grok MCP Plugin

MCP server for Grok AI API integration

Grok MCP Plugin config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "grok-mcp": {
      "command": "node",
      "args": [
        "build/index.js"
      ],
      "env": {
        "XAI_API_KEY": "your-grok-api-key"
      }
    }
  }
}

Grok MCP Plugin tools

Tool list not available yet

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Overview

What is Grok MCP Plugin?

Grok MCP Plugin is a Model Context Protocol (MCP) server that provides seamless access to Grok AI’s chat, vision, and function‑calling capabilities directly from Cline. It is built for developers using Cline with MCP support who want to integrate Grok AI into their workflows.

How to use Grok MCP Plugin?

Install Node.js (v16+), obtain a Grok AI API key from console.x.ai, and ensure Cline has MCP support. Clone the repo, run npm install && npm run build, then add the MCP server configuration to your Cline MCP settings (e.g., ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json). Use the three exposed tools via Cline’s <use_mcp_tool> syntax.

Key features of Grok MCP Plugin

  • Chat completion with Grok language models
  • Image understanding using Grok’s vision capabilities
  • Function calling based on user input
  • Supports both image URLs and base64‑encoded images
  • Configurable temperature, max tokens, and model selection

Use cases of Grok MCP Plugin

  • Generate text responses from Grok AI inside Cline
  • Analyze images with natural language prompts
  • Automate tasks by having Grok invoke external functions
  • Build AI‑powered assistants integrated with Cline

Frequently asked questions

1

What are the prerequisites to use this plugin?

Node.js v16 or higher, a Grok AI API key from console.x.ai, and Cline with MCP support.

2

How do I configure the plugin’s API key?

Set the `XAI_API_KEY` environment variable in your Cline MCP settings configuration under the `env` object.

3

What tools does the plugin expose?

Three tools: `chat_completion` for text generation, `image_understanding` for vision analysis, and `function_calling` for invoking functions.

4

Can I provide images as base64 instead of a URL?

Yes. Use the `base64_image` parameter (without the `data:image` prefix) instead of `image_url`.

5

What models are used by default?

Chat completion defaults to `grok-3-mini-beta`, image understanding defaults to `grok-2-vision-latest`. Both can be overridden.

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