Enables LLM-based agents and MCP-compatible clients to query and manipulate clinical data on a FHIR-compliant backend through CRUD resource tools, document ingestion, semantic search, and terminology lookup.
Enables AI agents and LLMs to retrieve precise food chemistry and nutrition data from USDA, Open Food Facts, and IFCT, evaluate recipes, optimize macros, look up barcodes, and detect ultra-processed foods through MCP tools.
Exposes retrieval capabilities of two RAG systems as authenticated MCP tools, allowing any MCP client to perform graph-augmented and hybrid retrieval with JWT auth.