Grok MCP provides a direct integration with Grok AI's powerful language and vision capabilities, exposing three primary tools: chat completion, image understanding, and function calling. Built by Braden Olmstead, this TypeScript-based server enables developers to interact with Grok's latest models through a standardized MCP interface, with a focus on seamless AI interaction across different use cases like text generation, image analysis, and intelligent function invocation.
Generate text responses using Grok's language models. Parameters: messages (array of message objects with role and content), temperature (optional float)
Analyze images with Grok's vision capabilities. Parameters: image_url (optional string), base64_image (optional string), prompt (required string)
Use Grok to call functions based on user input. Parameters: messages (array of message objects with role and content), tools (array of tool objects with type, function name, description, and parameters)
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