Public APIs
Provides semantic search across a curated catalog of free public APIs using embedding-based natural language queries to help developers discover APIs by use case, retrieve detailed metadata including authentication and CORS requirements, and match requirements to available capabilities.
About
This MCP server provides access to a curated catalog of free public APIs with intelligent embedding-based search capabilities, built by Alexander Galea using Python with FastEmbed for semantic search and numpy for vector operations. The implementation offers two core tools for searching APIs by natural language queries and retrieving detailed API information, plus resources for browsing the complete catalog, with all data sourced from the public-apis GitHub repository and indexed using sentence transformers for semantic similarity matching. Features include pre-built embedding indexes for fast query responses, test mode support for development workflows, and structured API metadata including authentication requirements, HTTPS support, and CORS policies, making it valuable for developers discovering APIs for specific use cases, prototyping applications that need external data sources, or building integrations where semantic search helps match natural language requirements to available API capabilities.
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