mapsi-mcp
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AlicenseAqualityCmaintenanceLocation & routing intelligence for AI agents — geocoding, truck routing, traffic, weather, and place search.161929 npm1MIT
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AlicenseBqualityBmaintenanceEnables AI agents to become geospatially intelligent assistants with tools for location search, smart routing, round trip planning, reverse geocoding, isochrone analysis, route visualization, geofence management, and interactive map display.816 npm7Apache 2.0- AlicenseNot gradedqualityCmaintenanceFree geospatial MCP server for AI agents, providing geocoding, reverse geocoding, POI search, and route planning using OpenStreetMap data via Nominatim, Overpass, and OSRM.1GPL 3.0
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TDQS
Scored across 18 tools
Each tool has a clearly distinct purpose: autocomplete for UI, geocode for forward, reverse_geocode for reverse, batch variants for bulk, elevation, static/tile URLs, H3 indexing, isochrone, map matching, matrix, nearest road, normalization, places search, point-in-polygon, routing, and timezone. Even geocode and normalize_address differ in goal (coordinates vs. data quality). No overlap.
Most tools follow verb_noun or noun patterns (e.g., batch_geocode, get_static_map_url, reverse_geocode, timezone). A few are single words (elevation, route, matrix), which is acceptable. No mixing of camelCase or snake_case (all lower_snake). Minor inconsistency but still predictable.
18 tools is slightly above the typical 3-15 range but justified by the broad geospatial domain. Each tool covers a distinct operation (forward/reverse/bulk geocoding, routing, matrix, isochrone, map matching, etc.). No redundant or trivial tools.
The tool set covers the full lifecycle of geospatial operations: geocoding (forward, reverse, batch), routing (with multiple travel modes), matrix calculations, isochrones, map matching, place search, elevation, H3 indexing, point-in-polygon, timezone, tile/static map generation, and address normalization. No obvious gaps; it handles both common and advanced use cases.