college-scorecard-mcp-server

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FastDrop pulled this entry from the official MCP Registry as io.github.cyanheads/college-scorecard-mcp-server and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 13 Oct 2026. Not supplied by the maker.

• scorecard_lookup_cip

  Search the Classification of Instructional Programs (CIP) taxonomy by keyword or partial name. Returns matching CIP codes with standard titles. Use this before passing cip_code filters to scorecard_se

• scorecard_list_fields

  Search the College Scorecard field catalog by keyword. Returns matching field paths, descriptions, data types, and whether each field supports API-side sorting. Use before passing custom field paths t

• scorecard_search_schools

  Search and filter U.S. colleges and universities by name, location, type, size, and acceptance rate. Returns core identity and cost metrics. Use scorecard_get_school for profiles or scorecard_search_p

• scorecard_get_school

  Institutional profiles for one or more school IDs. Accepts up to 1,000 elements, deduplicates normalized IDs, serves the first 100 distinct IDs, and reports missing and unprocessed IDs separately. Use

• scorecard_get_programs

  All field-of-study programs at one school with median earnings 1 year after the highest credential, cumulative Stafford/Grad PLUS debt, and IPEDS award counts for each year of the pooled debt cohort.

• scorecard_get_earnings

  Institution-level post-graduation earnings for one school — median and percentiles at 6, 8, and 10 years after entry, with optional gender breakdown. This reflects outcomes across all graduates, not b

• scorecard_search_programs

  Find programs by CIP code across institutions, ranked by median earnings within the fetched school page. Accepts school-side filters (state, ownership, max cost). Minimum earnings is applied locally;

• scorecard_compare_schools

  Normalized side-by-side comparison of 2–5 schools on a named topic. Returns percentile-ranked rows and relative deltas within the result set — structured output an agent cannot reconstruct from raw pr

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