apogeoapi-mcp
Related Servers
Alternatives to apogeoapi-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceServes country facts, administrative boundary GeoJSON, and per-region population, area, and capital statistics as structured data, letting an AI assistant build interactive maps, comparisons, and multilingual geography content instead of reciting prose. It also normalises region names across sources so boundary shapes can be joined to their statistics.3MIT

UniRate MCPofficial
AlicenseAqualityCmaintenanceCurrency conversion and exchange rates for AI assistants. 170+ currencies, historical data back to 1999.450 npmMIT- FlicenseNot gradedqualityDmaintenanceEnables exploration of geographical data including countries, cities, states/provinces, and regions through a SQLite database. Supports searches by name, location coordinates, currency, and regional groupings with comprehensive statistical queries.6-
- AlicenseBqualityDmaintenanceProvides access to the GeoDB Cities API for retrieving global geographic data including city details, populations, and local time. It enables users to find nearby locations, calculate distances between places, and browse administrative divisions across countries.18MIT
- AlicenseAqualityDmaintenanceGeospatial API tools for AI agents — geocoding, reverse geocoding, routing, isochrone, distance matrix, static maps, H3 hexagons, elevation, GPS map-matching, point-in-polygon, address normalisation, timezone lookup, and batch geocoding. Built on OpenStreetMap infrastructure. Cost-effective alternative to Google Maps API.1825 npmMIT
- AlicenseAqualityFmaintenanceMCP server providing structured geographic data for AI agents. Access 261 countries and millions of cities via Bamwor API.549 npm2MIT
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose with no overlap: geolocate_ip handles IP addresses, get_cities and get_states retrieve subnational divisions, get_country and search_countries focus on country data, get_currency_rate provides exchange rates, list_countries enumerates all countries, and global_search offers cross-entity search. The descriptions reinforce these boundaries, making tool selection unambiguous.
All tools follow a consistent verb_noun naming pattern with snake_case throughout: geolocate_ip, get_cities, get_country, get_currency_rate, get_states, global_search, list_countries, and search_countries. The verbs (geolocate, get, global_search, list, search) are well-chosen and predictable, creating a cohesive and readable set.
With 8 tools, the count is well-scoped for a geographic/geolocation API server. Each tool serves a specific and necessary function, such as retrieving countries, states, cities, currency rates, or performing searches, without redundancy. This number allows comprehensive coverage without being overwhelming.
The tool set provides complete coverage for geographic data retrieval: it includes CRUD-like operations for countries (list, get, search), subnational divisions (states and cities), IP geolocation, currency rates, and a global search. There are no obvious gaps, as all major geographic entities and related data are accessible, enabling agents to handle diverse queries effectively.