Provides AI assistants with intelligent access to ML textbook content through RAG-powered search, chapter retrieval, and documentation generation capabilities. Uses local models for privacy-focused, source-grounded responses from indexed technical books.
Provides structured JSON access to the ECMAScript specification (ECMA-262 and ECMA-402) for AI agents, allowing clause retrieval, cross-references, edition diffs, and test262 search via the Model Context Protocol.
Provides AI assistants with contextual access to Berlin Group Open Finance API specifications, enabling specification-compliant guidance through semantic search, graph database queries, and document retrieval.
Provides AI coding assistants with on-demand access to component specs, test scenarios, accessibility requirements, and build guides from the Web UI Component Specification.
