Catastro GPS MCP server
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- AlicenseBqualityBmaintenanceEnables AI agents to analyse rural land plots in Europe, returning computed figures and sources for checks such as flood risk, noise, sunlight, access, planning, and land-register data. It also supports managing saved plots, reports, folders, and listings.20MIT
- AlicenseAqualityBmaintenanceEnables AI assistants and agents to query Spanish public statistics from INE, official BOE publications, and Catastro property data via typed, read-only tools with structured, source-citable results.8MIT

Assetfy MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceEnables AI assistants to answer plain-language queries about official real estate data in Germany and Austria, covering cadastral parcels, zoning plans, land values, buildings, terrain, 3D models, aerial images, and property listings. Parcel and listing results link to map views with outlines, plans, buildings, and aerial imagery.MIT- AlicenseNot gradedqualityCmaintenanceEnables AI agents to look up US and Canadian parcel records either by full address string or by lat/lon point, returning parcel number, owner, mailing address, land use, zoning, acreage, and boundary geometry. It can be run as a local stdio server or reached through a hosted gateway endpoint.201 npmMIT
- AlicenseBqualityAmaintenanceEnables AI agents and developers to search and inspect Spanish public data sources, learn their endpoints and pitfalls, and retrieve ready-made data such as municipal profiles, economic indicators, company records, procurement, subsidies, and location reports.13130Creative Commons Zero v1.0 Universal
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to query sourced rural land, zoning, permit, public decision, and related government data for covered jurisdictions, with free coverage and pricing tools plus paid per-call data and watch tools.MIT
TDQS
Scored across 9 tools
Each tool targets a distinct data type or action: lookup (get_parcel), address resolution (search_address), geometry (get_boundaries), and single-domain analytics (solar, agriculture, market, investment, history) plus comparison. The only mild overlap is get_parcel returning an outline while get_boundaries also returns outline/centroid, but the descriptions clearly delineate them.
All nine tools follow a consistent verb_noun pattern (get_parcel, get_boundaries, get_solar_potential, compare_parcels, search_address). The verb varies (get/search/compare) only because the actions genuinely differ, and the spelling/casing style is uniform.
Nine tools is well within a healthy range and each maps to a clearly earned capability for a cadastral-data service. Nothing appears redundant or padded.
The surface covers lookup, address search, geometry, and the major analytical dimensions (solar, agriculture, market, investment, temporal history) plus comparison, forming a coherent lifecycle. Minor gaps exist, such as no export/batch or explicit coverage-listing operation, but core workflows are fully supported.