Verify the operational status and authentication of the Product Hunt MCP server. Retrieve server state, user details, rate limits, and error messages for monitoring and troubleshooting.
Retrieve detailed Product Hunt post data including ID, name, description, tagline, votes, makers, topics, media, and paginated comments by specifying a post ID or slug.
Retrieve Product Hunt posts filtered by topic, date, URL, or Twitter link, sorted by ranking, votes, or newest. Use pagination to explore additional results.
Enables semantic search and natural language product recommendations using ChromaDB vector store and Azure OpenAI embeddings. Supports multi-filter search by category, brand, and price with 8 specialized MCP methods for intelligent product discovery.
A comprehensive Model Context Protocol (MCP) server for product inventory management with PostgreSQL database backend, enabling natural language queries for product information across multiple AI platforms.