Grok MCP Plugin
@Bob-lance
About Grok MCP Plugin
MCP server for Grok AI API integration
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"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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
FAQ from Grok MCP Plugin
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.
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.
What tools does the plugin expose?
Three tools: chat_completion for text generation, image_understanding for vision analysis, and function_calling for invoking functions.
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.
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.
Frequently asked questions
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.
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.
What tools does the plugin expose?
Three tools: `chat_completion` for text generation, `image_understanding` for vision analysis, and `function_calling` for invoking functions.
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`.
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.
Basic information
More Developer Tools MCP servers
TranscriptFetch MCP Server
TranscriptFetchModel Context Protocol (MCP) server for TranscriptFetch: fetch YouTube transcripts, search, channels, and playlists from any MCP client.
MCP Unity Editor (Game Engine)
CoderGamesterModel Context Protocol (MCP) plugin to connect with Unity Editor — designed for Cursor, Claude Code, Codex, Windsurf and other IDEs
Serena
oraiosA powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
MCP Inspector
modelcontextprotocolVisual testing tool for MCP servers
DevDocs by CyberAGI 🚀
cyberagiincCompletely free, private, UI based Tech Documentation MCP server. Designed for coders and software developers in mind. Easily integrate into Cursor, Windsurf, Cline, Roo Code, Claude Desktop App
Comments