SQLite Geography Server
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Alternatives to SQLite Geography Server
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Related Servers
- 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
- AlicenseNot gradedqualityAmaintenanceProvides complete world location data (countries, states, cities) as an MCP server for AI assistants, enabling search and retrieval of geographic information through 11 tools and 5 resources.290 npm1MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search worldwide cities, landmarks, and regions; retrieve administrative divisions, coordinates, population, nearby places, timezone and sunrise/sunset data; and look up postal codes by place or code.11 npmMIT
- FlicenseNot gradedqualityDmaintenanceProvides tools to retrieve and compare detailed information about countries, including population, region, and currency data. It allows users to search for specific countries or list them by region.-
- 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.325 PyPIMIT
- AlicenseNot gradedqualityBmaintenanceProvides world country data from the REST Countries API, enabling search by name, ISO code, region, language, or currency, with details like capital, population, and languages.31 npmMIT
TDQS
Scored across 15 tools
search_countries and get_countries overlap almost entirely—both search by name with partial matches, and get_countries even defaults to all countries. get_countries_summary also returns country lists, so an agent could easily pick the wrong tool, though other tools are distinct.
All 15 tools use snake_case with a consistent verb_noun structure (get_, search_). The pattern is predictable and readable throughout, including the odd get_top_chatters.
15 tools is a reasonable count for a geography database covering countries, cities, states, regions, and currencies. However, get_top_chatters is out of scope and a couple of country-listing tools are redundant.
Core geography entities are well covered with search and list operations for countries, cities, states, and regions. Minor gaps include no dedicated get_city, get_state, or get_region detail endpoints, but search functions largely compensate.