Provides access to UNHCR refugee statistics through a standardized interface, allowing AI agents to query data by country of origin, country of asylum, and year.
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.
Enables querying and analyzing humanitarian data, such as refugee statistics, through semantic tools like country comparisons, trend analysis, and report generation, using the UNHCR API.
Enables querying UNHCR refugee, IDP, stateless populations, asylum decisions, returns, and resettlement statistics via MCP, including staging large datasets for SQL queries. Supports stdio or Streamable HTTP transports.
Enables AI agents to query real-time and historical Formula 1 data, including Grand Prix meetings, sessions (races, qualifying, practice), drivers, and lap times or telemetry, with support for filtering by year, country, session, and driver. Can be used via the Pipeworx gateway or as a local stdio server.
Enables AI agents to browse, search, and query Australian Bureau of Statistics datasets through the ABS Data API, exposing dataflow discovery, dimension/code structure inspection, and SDMX dataKey-based retrieval of time-indexed observations with decoded labels. It can run as a hosted gateway endpoint or a local stdio server.