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Automates documentation generation from source code comments, parsing classes, functions, and variables to produce output in formats like HTML and PDF.
Provides a ChatGPT-like memory system for Cursor IDE using the Model Context Protocol (MCP).
Connects TronClass to Claude AI, enabling direct interaction through the Model Context Protocol (MCP).
Renders Markdown content or files into PDF documents via a Model Context Protocol (MCP) server.
Automates key aspects of software development, from meeting transcription and AI analysis to comprehensive documentation generation and mobile testing.
Delivers Tencent Cloud SDK documentation and API resources to Large Language Model (LLM) tools, enhancing AI agent understanding and interaction with Tencent Cloud services.
Showcases MCP server API capabilities through a demonstration.
Generates educational content, including MCQs, lesson plans, and flashcards, using handwritten logic instead of external large language models.
Provides a comprehensive Model Context Protocol server for accessing the Korean National Library API, offering over 25 specialized tools for book and library search, popular trends, and GPS-based nearby library discovery.
Provides a template repository for running a local language model with an included knowledge base.
Enables Large Language Models to retrieve detailed technical documentation, customer information, and asset data from a Hudu instance via its API.
Enables large language models to intelligently read, process, and navigate long-form documents.
Explore AI security vulnerabilities within a deliberately insecure framework designed for educational purposes.
Integrates RAGFlow's knowledge base querying and document management capabilities directly into Claude Desktop.
Provides fast, structured access to Microsoft Flight Simulator SDK documentation via natural language and structured queries.
Offers a diverse collection of development tools and code samples spanning C++, C, .Net, TypeScript, and Python.
Supplies Large Language Models with real-time, comprehensive Go package documentation directly from pkg.go.dev.
Facilitates Retrieval Augmented Generation (RAG) using LlamaIndex, Gemini embeddings, and LanceDB for local knowledge storage.
Integrates WikiJS with AI assistants, enabling them to search and retrieve content from your WikiJS knowledge base.
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