Enables AI agents to discover and search public APIs through keyword and semantic queries over a local SQLite catalog, augmented by live plugin results that are merged before reranking.
Enables LLMs to search and retrieve information from large technical documentation (OpenAPI specs, markdown) via intelligent chunking and semantic search.
Exposes an OpenAPI catalog as tools for AI agents (e.g., Claude Code, Cursor) to query API endpoints via list_endpoints and get_endpoint tools, enabling interactive API exploration without a browser.
Exposes OpenAPI specifications as queryable documentation resources for LLMs, enabling semantic search, endpoint details, and deep links to Scalar docs.
Automatically discovers vector indexes in a Neo4j database and exposes each as a semantic search tool with metadata pre-filtering, enabling natural language queries with dynamic filter support.