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Serve comprehensive, self-contained robotics information via a Model Context Protocol (MCP) server for AI assistants and developers.
Demonstrates a Model Context Protocol (MCP) server implementation using streamable HTTP transport with the FastMCP framework.
Provides access to Payman AI's documentation for AI assistants to aid developers with integration questions.
Transforms Confluence documentation into an AI-powered knowledge base, enabling natural language queries via Gemini CLI.
Transforms Markdown content into professionally styled PDF documents with support for syntax highlighting, custom CSS, Mermaid diagrams, and optional page numbers and watermarks.
Facilitates developer documentation, configuration, and settings search for AI assistants and development workflows.
Provides access to PrimeVue documentation through a Model Context Protocol server.
Assists AI coding clients like Claude Code and Gemini CLI with accurate Pine Script v6 programming by providing quick access to its reference manual.
Enables AI assistants to query and retrieve information from PDF files containing food service standards and preparation guidelines.
Retrieves relevant text chunks from PDF documents using a hybrid search approach for integration with AI agents.
Exposes a JSON-RPC endpoint for retrieving simplified weather data from OpenWeatherMap.
Provides professional C++ coding style checks and best practice suggestions.
Provides a simple Node.js and TypeScript-based server project with a basic tutorial.
Search documentation from LangChain, LlamaIndex, and OpenAI using the Serper API.
Displays an interactive hyperbolic shader on Linux with real-time video textures, controllable via an LLM using the MCP protocol.
Provides IDA Pro documentation access via an MCP (Machine Code Processor) server to assist with plugin and script development.
Explores the fundamentals of protocol design and client-server communication through a learning project.
Enables searching YouTube content through various implementation approaches, including direct API calls and the Model Context Protocol (MCP).
Provides a production-ready FastMCP reference server, bundled with hackathon resources and reusable starter prompts for Cursor integration.
Provides a demonstration of an MCP server implementation using the `http-mcp` package, exposing example tools and prompts.
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