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Enables documentation from GitHub repositories or websites to be converted into prompts suitable for Large Language Models (LLMs) through an MCP server.
Provides tutorials and content related to MCP.
Provides Mike Creighton Consulting website pages as Resources to Model Context Protocol (MCP) clients.
Analyzes code and generates documentation for projects.
Enables local middleware for seamless communication between LLM-based tools on Windows OS.
Unifies the latest documentation for all Python dependency managers, making it instantly searchable from your agentic IDE.
Offers a comprehensive, hands-on learning path for Model Context Protocol (MCP) development, guiding users from beginner to advanced concepts.
Develops an MCP client to interact with tools, resources, and prompts exposed by an MCP server using the FastMCP framework.
Empowers AI coding agents to access and leverage your personal historical documents for intelligent template generation and pattern recognition.
Manages a comprehensive knowledge and rules suite for Tailscale networks, featuring semantic search capabilities powered by libSQL vectors and OpenAI embeddings.
Connects AI agents to remote Git repositories to fetch and search markdown documentation and notes.
Enables AI assistants to seamlessly interact with SiYuan notes through the Model Context Protocol.
Organizes and provides searchable access to project documentation stored in local markdown files.
Provides AI assistants with intelligent, comprehensive access to the MAGMA computational algebra system handbook through advanced vector search and semantic understanding.
Fetches and reads official documentation in real-time, providing instant, context-aware answers to developers within their AI assistant.
Manages intelligent versioning of code projects and automates documentation generation, offering CLI, REST API, and MCP interfaces for modern development workflows.
Connects Claude (AI assistant) to Sketch Engine, enabling powerful corpus linguistics and text analysis directly in your conversations with Claude.
Answers HR policy questions from your own documents, retrieving relevant sections from a vector database to generate grounded responses with citations using OpenAI or Gemini.
Enables AI assistants to save and semantically search bookmarks using OpenAI's Retrieval Augmented Generation (RAG) capabilities.
Efficiently search Model Context Protocol documentation with high-quality BM25 search and on-demand content fetching.
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