ew-mcp
OfficialRelated Servers
Alternatives to ew-mcp
No user-submitted related servers found.
Related Servers
AlicenseAqualityCmaintenanceEnables querying the Urban Institute's Education Data Portal — harmonized federal data on schools, school districts, and colleges — through a discovery-first set of tools that search and describe datasets, fetch raw records or aggregated statistics, decode coded values, and resolve institution names to IDs, with no API key required and read-only access to the live API.6MIT- AlicenseNot gradedqualityBmaintenanceEnables natural-language queries about US K-12 public schools, districts, per-pupil funding and spending, and child poverty estimates from keyless federal data.359 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables AI assistants to explore, compare, and engage with postsecondary education and training offerings—programs, courses, certifications, credit transfer, prior learning, and career transitions—with sourced, snapshot-dated answers and explicit statements of missing data.-
- AlicenseNot gradedqualityCmaintenanceFederated MCP server that routes K-12 education data requests to public sources like Urban Institute, EDC/Zelma, NAEP, and MA E2C, handling comparability and provenance automatically.MIT
- AlicenseNot gradedqualityCmaintenanceEnables browsing Global Forest Watch's catalogue and running read-only SQL queries against dataset versions, covering tree cover loss, deforestation alerts, fire alerts, carbon flux, and more.260 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables querying Sweden's municipal and regional key-performance-indicator (KPI) database, providing access to a wide range of public sector metrics via natural language.362 npmMIT
TDQS
Scored across 4 tools
The four tools form a clear pipeline: search finds metrics by concept, describe explains a specific metric/indicator/essential question, resolve_place turns a name into a geoid, and get_data fetches values. There is mild overlap between search and describe (both surface framework content), but the args and outputs make the boundary clear in practice.
Two tools use bare verbs (search, describe) while two use a verb_noun pattern (resolve_place, get_data). Individually readable and unambiguous, but the conventions are mixed rather than a single predictable pattern.
Four tools is a tight, well-scoped read-only set for a data framework: discover, explain, geocode, fetch. Nothing feels redundant, though it sits near the thin end where one more operation (e.g. an explicit metric enumeration) might round it out.
The surface covers the full read lifecycle for the domain — find a metric, understand it, resolve a place, retrieve or rank values, including automatic benchmarks and disaggregation options. Being a read-only data server, missing write ops are not gaps; the main absence is a direct way to enumerate all available metrics/geographies without a query.