Google✦ Lab Verified
Google Maps
Access Google Maps Platform APIs for geocoding, directions, place search, and elevation data.
9.0/10
Score
167ms
Latency
100%
Uptime
7
Tools
OAuth
Auth
Ecosystem
Google MCP Servers
4 specialized servers, 41 tools tested independently. Each link leads to a full review with tool-level evidence.
| Server | Score | Security |
|---|---|---|
| Google Calendar | 93/100 | 10/10 |
| Google Drive | 91/100 | 10/10 |
| 87/100 | 10/10 | |
| Gmail | 87/100 | 10/10 |
Quick Verdict
Use this if you need maps operations and location data. Avoid it if you lack Google API keys. Best area: geocoding and place searches. Biggest failure: none in current tests.
Lab Review
What We Found
What works: Google Maps MCP server delivers on location data without hiccups. All 7 core mapping tools - maps_geocode, maps_reverse_geocode, maps_search_places, maps_place_details, maps_distance_matrix, maps_elevation, maps_directions - returned clean results consistently. If you need location intelligence in your agent, the foundation performs reliably. Where it breaks: Setup friction hits you before any code runs. The server supports remote OAuth transport, but our tests used API key credentials in sandbox mode. Getting your Google Cloud project configured with the right APIs enabled and billing attached takes manual steps that slow down initial deployment. No tool failures occurred during testing, but the 488ms maximum latency on some calls means you cannot assume sub-200ms response times. What this means for your workflow: Location lookups, routing calculations and place searches are reliable in current tests without fallbacks. Budget extra time for the Google Cloud Console setup dance - API enablement and key management are not one-click operations. For latency-sensitive applications, cache results where possible since response times vary. If your agent needs location data and you can handle the setup overhead, this server delivers. If you want plug-and-play mapping, look elsewhere.
Lab Observations
What actually happened during testing
During testing, our scanner interacted with Google Maps. 7 tools succeeded.
| Tool | Status |
|---|---|
| maps_geocode | ✅ success |
| maps_reverse_geocode | ✅ success |
| maps_search_places | ✅ success |
| maps_place_details | ✅ success |
| maps_distance_matrix | ✅ success |
| maps_elevation | ✅ success |
| maps_directions | ✅ success |
Reliability
Full runtime test completed. Score based on transport stability and schema completeness.
Score Breakdown
Reliability
7 of 7 executed tools succeeded.
Security
Score based on schema analysis and dependency audit.
Setup
Remote server with OAuth authentication.
Docs
7 tools with descriptions and input schemas.
Compatibility
Standard MCP protocol. Transport: OAuth.
Maintenance
Based on commit frequency, releases, and contributor activity.
Tools
7 available tools
Convert an address into geographic coordinates
Convert coordinates into an address
Search for places using Google Places API
Get detailed information about a specific place
Calculate travel distance and time for multiple origins and destinations
Show all 7 tools →Show less ↑
Get elevation data for locations on the earth
Get directions between two points
FAQ
Frequently asked questions about Google Maps
What latency can I expect from Google Maps tools?+
Response times ranged from 104ms to 488ms across all executed operations. Place search operations took the longest at 488ms, while geocoding completed in 104ms. Distance matrix and elevation queries fell in the middle range at 167ms and 132ms respectively. All operations completed within half a second during our testing.
Do all Google Maps tools require the same API scopes?+
We tested with maps:read scope and all seven executed tools functioned without additional scope requirements. This included geocoding, place search, directions, distance calculations, and elevation queries. The scope configuration covers read-only geographic operations without requiring write permissions or premium feature access.
How does the server handle different types of geographic queries?+
Each tool type processes distinct geographic data formats. Geocoding tools converted addresses to coordinates and vice versa. Place operations returned business details and location data. Direction tools provided routing information while distance matrix calculated travel metrics between points. Elevation queries returned altitude data for specified coordinates.
What authentication setup is required for Google Maps integration?+
The server supports remote_oauth transport, though our testing used API key credentials. Setup received a 7/10 score, indicating some configuration complexity. The authentication process requires proper credential configuration and scope assignment, specifically maps:read for geographic query operations we validated.
Are there any limitations with the sandbox testing environment?+
Testing occurred in sandbox mode which excluded certain tools due to paid feature requirements and fixture limitations rather than operational restrictions. We observed 7 tools executed successfully, with no policy-based exclusions. The sandbox environment allowed testing of core geographic operations without additional constraints.
How consistent are response times across different operation types?+
Geographic operations showed predictable latency patterns. Simple coordinate operations like geocoding and place details completed faster (104-120ms), while complex queries like place search took longer (488ms). Route-based operations including directions and distance matrix fell into a consistent middle range (167-261ms).
What happens when Google Maps operations encounter errors?+
During our testing, all seven executed operations completed without errors, providing no direct evidence of error handling behavior. The reliability score of 10/10 indicates consistent operation completion, but we cannot document specific error response patterns or failure modes from the test results.
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Testing History
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