A Model Context Protocol (MCP) server that gives AI assistants like Claude direct access to the World Health Organization's Global Health Expenditure Database (GHED) — purpose-built for comparative health-financing research.
Provides AI agents with 40 tools for structured data storage, querying, web search, URL fetching, scheduled jobs, and execution through the Model Context Protocol.
Enables AI agents to access validated FHIR/EHR data and healthcare tools through the Model Context Protocol, supporting secure clinical data processing and LangChain integration.
Enables natural-language querying of Brazilian public health indicators from DataSUS microdata — mortality, dengue, hospitalizations, ICSAP, and births — through 41 tools covering consultation, analysis (peer-stratum comparison, dengue endemic channel, weekly bulletin), reliability warnings, and anomaly detection. It runs locally against the public API with anti-hallucination rules so every figure comes from a tool with its source cited.
Gives AI assistants and research code read-only, normalized access to trusted humanitarian datasets — 75 years of UNHCR displacement statistics, World Bank indicators, HDX crisis data on conflict, food security, funding and internal displacement, and ReliefWeb situation reports — through the Model Context Protocol. Unifies country codes to ISO3 with fuzzy English and Arabic name resolution, applies each dataset's correct aggregation semantics, and attaches a citable source and reproducible extraction manifest to every payload.
