Enables MCP clients to retrieve authoritative AI Square documentation, API references, SDK examples, guides, and troubleshooting information through citation-safe hybrid search and static resources.
Enables documentation ingestion, indexing, hybrid retrieval, API-symbol lookup, and citation-backed context for AI assistants through MCP and REST interfaces.
Enables authenticated MCP clients to search, summarize, and manage a bundled document corpus through read and admin-tier tools, with hybrid retrieval and an evaluation gate.
Enables searching, reading, and navigating MkDocs documentation sites through MCP tools for keyword, semantic, or hybrid search, document browsing, and project metadata.
Provides RAG (Retrieval Augmented Generation) access to technical documentation through MCP, enabling LLMs to search and retrieve relevant documentation on-demand.