Gauntlet - Incept is a system for generating high - quality educational content for students in grades K - 8, providing customized generation, annotation, and scoring functions for articles and question banks, including REST API and MCP services.

Deep Research MCP is a server project based on the Model Context Protocol (MCP), aiming to conduct comprehensive network research through Tavily's search and crawl APIs and integrate the data into structured Markdown documents to support high - quality content generation for large - language models (LLMs).

The AI Humanize MCP Server is a powerful model context protocol server that can optimize AI-generated content to be more natural and user-friendly. It has functions such as AI detection, natural language enhancement, grammar correction, and readability optimization, helping users improve text quality.

The Context Engineering MCP Platform is an AI context management and optimization platform that designs, manages, and optimizes the input information of AI models through a systematic approach, realizing the engineering of prompt engineering. The platform provides functions such as intelligent analysis engines, optimization algorithms, and template management, significantly improving AI response quality, reducing API costs, and supporting multimodal content processing.

The AI Humanize MCP Server is a powerful model context protocol server that can optimize AI-generated content to be more natural and user-friendly. It has functions such as AI detection, natural language enhancement, grammar correction, and readability optimization to help users improve text quality.