Spain Open Data MCP
Related Servers
Alternatives to Spain Open Data MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to resolve places and statistical variables, then retrieve harmonised public statistics such as population, income, health, employment, and emissions with publisher provenance and child-place comparisons.MIT
- FlicenseNot gradedqualityBmaintenanceEnables querying demographic, spending, and market data for every place in Europe, offering tools to analyze markets, describe areas, reach audiences, compare and rank places, sample personas, resolve locations, and run structured population queries—all as privacy-protected aggregates.-
- AlicenseAqualityBmaintenanceEnables AI agents to look up official cadastral parcels across 31 European country and region codes by reference, coordinates, or free-text Spanish address, returning location, area, land use, and outlines while also estimating solar and agricultural potential, market prices, and investment scores.9107 npm1MIT
- AlicenseNot gradedqualityBmaintenanceMCP server providing access to Spain's National Statistics Institute (INE) Tempus3 JSON API, enabling querying of Spanish statistical data through natural language.22 npmMIT
- AlicenseNot gradedqualityBmaintenanceProvides access to official U.S. Census Bureau data, including decennial census, American Community Survey, economic census, population estimates, and housing characteristics, across geographic levels from nation to block group. Enables natural-language queries and direct tool calls for demographic and housing analysis.245 npmMIT
- AlicenseAqualityCmaintenanceEnables querying and analyzing over 90,000 public datasets from the Spanish Government Open Data Portal (datos.gob.es) using natural language, with tools for search, filtering, metadata access, and SPARQL queries.105MIT
TDQS
Scored across 3 tools
Each tool targets a clearly distinct concern: resolve_place does code/level lookup, demographics returns population/household data, and income returns economic data. Descriptions explicitly explain when to use each and how they chain, leaving little room for misselection.
Names mix conventions: resolve_place is a verb_noun pattern while demographics and income are bare nouns. It is still readable and each name is self-explanatory, but there is no single predictable pattern.
Three tools is on the thin side for a server branded as covering Spanish open data broadly, though it is coherent for a focused socioeconomic surface. Each tool earns its place but the set feels lean.
The resolve_place → demographics/income chain gives a complete workflow for place-based socioeconomic queries, with sub_areas supporting drill-down. Gaps exist for other open-data domains (housing, employment, health), but the stated socioeconomic purpose is well covered.