Geodb Cities MCP Server

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TDQS

B3.2/5.0

Scored 2026-04-18 06:46 across 18 tools

Disambiguation3/5

There is significant overlap between tools like 'city_located_in' and 'place_located_in' which serve similar purposes for different entity types, and 'place_time' vs 'place_date_time' vs 'time_zone' which all handle time-related queries with subtle distinctions. However, most tools have clear primary functions (e.g., 'admin_divisions_near_location' vs 'places_near_location') that help differentiate them.

Naming Consistency4/5

The naming follows a consistent snake_case pattern throughout with clear verb_noun or noun_verb_noun structures (e.g., 'admin_divisions_near_location', 'place_details'). Minor inconsistencies exist like 'place_date_time' using an incorrect ISO standard reference (6801 instead of 8601) and 'time_zone' being more terse than others, but overall the pattern is predictable.

Tool Count4/5

With 18 tools, the count is slightly high but reasonable for a geographic database server covering administrative divisions, cities, places, and time data. It provides comprehensive query capabilities without being overwhelmingly large, though some consolidation might improve coherence.

Completeness5/5

The tool set offers complete coverage for querying geographic entities (places, cities, administrative divisions) with details, proximity searches, containment relationships, and time information. There are no obvious gaps—agents can retrieve, filter, and relate geographic data effectively across the domain.