Grok MCP Plugin
Related Servers
Alternatives to Grok MCP Plugin
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceProvides seamless access to Grok AI models through the Model Context Protocol by wrapping the official Grok CLI, offering tools for general queries, multi-turn conversations, and code generation.38MIT
- AlicenseBqualityFmaintenanceEnables chat completions using x.ai's Grok API with support for multiple Grok models (grok-beta, grok-2-latest, grok-4-latest) and configurable parameters like temperature and max tokens.14 npmMIT
- AlicenseBqualityDmaintenanceEnables interaction with the Grok AI through an MCP server, supporting chat completions, text completions, embeddings, and model operations with streaming capabilities.526 npm7MIT
- FlicenseAqualityBmaintenanceEnables using the xAI Grok CLI as an MCP sub-agent for code review, asking questions, and continuing conversations within MCP hosts like Claude Code.4-
- AlicenseAqualityBmaintenanceBrings xAI's Grok API into Claude Code as native tools, enabling chat, image generation, model listing, and multi-round consensus/validation analysis.516 npm3MIT
- AlicenseNot gradedqualityFmaintenanceA custom Model Context Protocol implementation that integrates Perplexity AI with Claude Desktop, allowing users to access Perplexity's AI models for both single questions and multi-turn conversations.24 npm15ISC
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: chat_completion handles text generation, function_calling manages function execution, and image_understanding focuses on visual analysis. There is no overlap in functionality, making tool selection straightforward for an agent.
The tools follow a consistent snake_case naming convention, but the pattern is not strictly verb_noun (e.g., chat_completion, function_calling, image_understanding). The naming is readable and logical, with only minor deviations from a perfect pattern.
With only 3 tools, the set feels thin for a general-purpose AI plugin, potentially lacking operations like text summarization, translation, or audio processing. However, it covers core AI functionalities adequately for basic use cases.
The tools cover key AI areas (text, functions, images), but there are notable gaps such as missing text analysis tools (e.g., sentiment analysis, summarization) and no explicit support for audio or video processing. The surface is functional but not comprehensive for a full AI suite.