Mapulus

@Mapulus list all maps in my account and show me which ones were updated in the last 30 days

Found 12 maps in your Mapulus account. 3 were updated in the last 30 days: 'Store Locations Q1 2024' (updated 8 days ago, 47 locations), 'Distribution Centers' (updated 12 days ago, 8 locations), and 'Sales Territory Map' (updated 19 days ago, 203 locations). The remaining 9 maps have not been modified since early December. All maps are currently active and accessible.

This example demonstrates the List Maps tool combined with AI filtering logic. The MCP returns paginated map metadata; the AI parses timestamps to identify recent updates. Requires valid API_KEY authentication. Response time depends on total map count in the account.

@Mapulus find the location with external ID 'STORE-4782' and tell me its current coordinates and address

Located STORE-4782 in your Mapulus data: coordinates are 40.7489, -73.9680 (Midtown Manhattan). The registered address is 450 Lexington Avenue, New York, NY 10017. This location is tagged as 'retail-flagship' and was last updated 6 weeks ago. It appears on 2 maps: 'NYC Retail Locations' and 'East Coast Store Network'.

This example uses the Find Location by External ID tool to retrieve a specific location record. External IDs must match your account's naming convention exactly. The MCP returns raw location data; the AI formats it into readable context. Useful when syncing location data from external systems.

@Mapulus pull all locations from the 'West Coast Warehouses' map and calculate the average distance between them

Retrieved 11 locations from the 'West Coast Warehouses' map. Calculating pairwise distances: the average distance between any two warehouses is approximately 287 miles. The most isolated facility is in Spokane, WA (avg 412 miles from others). The tightest cluster is in Southern California—3 warehouses within 45 miles of each other. This suggests potential consolidation opportunities in the LA metro area.

This example chains Get Map Details and List Locations, then applies AI reasoning to compute geographic insights. The MCP provides coordinates; the AI calculates distances using haversine formulas. Useful for logistics planning, but note that straight-line distances differ from driving routes.

When Mapulus wins for teams routing 20+ service calls daily

A 6-person field service team routing HVAC technicians across metro Atlanta uses Mapulus to sync location data between their CRM and dispatch board. The List Locations tool pulls the day's service addresses into a shared workspace, then Find Location by External ID matches each ticket to the right site when a customer calls with a follow-up. This works because the team already stores external IDs in their ticketing system—if you're starting from scratch addresses without structured location metadata, you'll spend a week cleaning data before Mapulus adds value. The API key auth means any team member can query locations without OAuth friction. Buy this if your dispatch volume justifies maintaining a location database; skip it if you're routing fewer than 15 calls a week.

Mapulus handles multi-property ops teams under 50 locations

A 3-person property management company tracking 22 rental units across two cities uses Mapulus to centralize inspection schedules and maintenance logs. The Get Map Details tool surfaces property clusters by neighborhood, and List Maps lets the team filter by acquisition year when planning capital improvements. Each property's external ID links back to their accounting system, so Find Location by External ID bridges financial records to physical sites during month-end close. This setup breaks down past 50 properties—pagination through List Locations gets slow, and the 4-tool limit means no bulk update or geocoding features. If your portfolio is growing fast or you need address validation, you'll outgrow this MCP in six months. It's ideal for stable portfolios where location lookup speed matters more than advanced spatial analysis.

When Mapulus supports early-stage location scouting

A 2-person retail startup evaluating 8 potential storefront locations uses Mapulus to organize site visit notes and demographic overlays. The List Maps tool groups candidate sites by metro area, and Get Map Details pulls traffic counts and zoning data the team manually entered during initial research. Find Location by External ID ties each site back to the commercial real estate listing ID, so the team can cross-reference lease terms without switching tools. This works for early-stage research with under 20 sites—beyond that, the lack of bulk import or automated geocoding becomes a bottleneck. If you're comparing 50+ locations or need drive-time analysis, you need a full GIS platform. Buy Mapulus if you're in the scrappy research phase and want lightweight location tracking without enterprise spatial software.