An MCP server that provides access to the Urban Institute's Education Data API, enabling AI assistants like Claude to retrieve and analyze educational statistics. The server exposes tools for fetching detailed and aggregated education data across various levels (schools, districts, universities), sources (CCD, IPEDS, CRDC), and topics (enrollment, finance, assessment). Built with TypeScript and the MCP SDK, it simplifies complex data retrieval operations through structured parameters and filters, making it valuable for educational research, policy analysis, and data visualization without requiring specialized API knowledge.
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Highlight AIRetrieves detailed education data from the API. Parameters: level (required), source (required), topic (required), subtopic (optional), filters (optional), add_labels (optional), limit (optional)
Retrieves aggregated education data from the API. Parameters: level (required), source (required), topic (required), subtopic (optional), stat (required), var (required), by (required), filters (optional)
