Enable geospatial search, routing, and map analytics for location-aware applications.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mapsi-mcp" yet — see the docs or source repo.
Use mapsi-mcp to batch geocode these store addresses and return normalized addresses, coordinates, and match confidence: 123 Nanjing West Road, Jing'an District, Shanghai; 88 Jianguo Road, Chaoyang District, Beijing; 100 Tiyu East Road, Tianhe District, Guangzhou.
A list of normalized addresses with latitude, longitude, and match quality for system import.
Use mapsi-mcp to calculate a driving route starting from 1 Wensan Road, Xihu District, Hangzhou, visiting five customer stops. Return total distance, estimated duration, turn-by-turn segments, and a distance matrix to compare stop orders.
A route summary, navigation segments, and distance matrix to optimize delivery or field visits.
Use mapsi-mcp to generate a 15-minute driving isochrone around a store in Wuhou District, Chengdu, then use H3 hexagons to count population points within the covered area. Also provide a static map preview link.
A service-area polygon, hex-grid statistics, and a map preview for site selection and coverage analysis.
Enable AI agents to geocode, search places, and plan routes.
Give AI assistants geospatial search, routing, analysis, and interactive mapping capabilities.
Use natural language to access Google Maps search, routing, and geospatial APIs.
Access Google Maps services for routing, geocoding, distance calculation, and place search.
Query locations, addresses, and map data using natural language.
Connect AI assistants to Amap for geocoding, routing, POI search, and location.