mcp/aws-location-mcp-server pulls statistics
By mcp (100 listings) · Docker Hub · Machine learning & AI
Place search, geocoding, and route optimization.
mcp/aws-location-mcp-server has 13,527 recorded pulls on Docker Hub.
It ranks #824 of 1,263 tracked Docker Hub listings by pulls.
PluginStats has 3 daily observations since Oct 16, 2026; the latest is from Oct 18, 2026.
About mcp/aws-location-mcp-server
Amazon Location Service MCP Server
Place search, geocoding, and route optimization.
What is an MCP Server?
MCP Info
Attribute|Details| |-|-| Docker Image|mcp/aws-location-mcp-server Author|awslabs Repository|https://github.com/awslabs/mcp
Image Building Info
Attribute|Details| |-|-| Dockerfile|https://github.com/awslabs/mcp/blob/636aca8e109b5559006044f035bb89c16e9e5410/src/aws-location-mcp-server/Dockerfile Commit|636aca8e109b5559006044f035bb89c16e9e5410 Docker Image built by|Docker Inc. Docker Scout Health Score| Verify Signature|COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/aws-location-mcp-server --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub Licence|Apache License 2.0
Available Tools (8)
Tools provided by this Server|Short Description -|- calculate_route|Calculate a route and return summary info and turn-by-turn directions.| geocode|Get coordinates for a location name or address using Amazon Location Service geo-places geocode API.| get_place|Get details for a place using Amazon Location Service geo-places get_place API.| optimize_waypoints|Optimize the order of waypoints using Amazon Location Service geo-routes optimize_waypoints API (V2).| reverse_geocode|Reverse geocode coordinates to an address using Amazon Location Service geo-places reverse_geocode API.| search_nearby|Search for places near a location using Amazon Location Service geo-places search_nearby API.| search_places|Search for places using Amazon Location Service geo-places search_text API.| search_places_open_now|Search for places that are open now using Amazon Location Service geo-places search_text API and filter by opening hours.|
Tools Details
Tool: calculate_route
Calculate a route and return summary info and turn-by-turn directions.
Parameters: departure_position: [lon, lat] destination_position: [lon, lat] travel_mode: 'Car', 'Truck', 'Walking', or 'Bicycle' (default: 'Car') optimize_for: 'FastestRoute' or 'ShortestRoute' (default: 'FastestRoute')
Returns: dict with distance, duration, and turn_by_turn directions (list of step summaries). Parameters|Type|Description -|-|- departure_position|array|Departure position as [longitude, latitude] destination_position|array|Destination position as [longitude, latitude] optimize_for|string *optional*|Optimize route for 'FastestRoute' or 'ShortestRoute' (default: 'FastestRoute') travel_mode|string *optional*|Travel mode: 'Car', 'Truck', 'Walking', or 'Bicycle' (default: 'Car')
Tool: geocode
Get coordinates for a location name or address using Amazon Location Service geo-places geocode API. Parameters|Type|Description -|-|- location|string|Location name or address to geocode
Tool: get_place
Get details for a place using Amazon Location Service geo-places get_place API. Output is standardized and includes all fields, even if empty or not available. Parameters|Type|Description -|-|- place_id|string|The unique PlaceId for the place mode|string *optional*|Output mode: 'summary' (default) or 'raw' for all AWS fields
Tool: optimize_waypoints
Optimize the order of waypoints using Amazon Location Service geo-routes optimize_waypoints API (V2).
Returns summary (optimized order, total distance, duration, etc.) or full response if mode='raw'. Parameters|Type|Description -|-|- destination_position|array|Destination position as [longitude, latitude] origin_position|array|Origin position as [longitude, latitude] waypoints|array|List of intermediate waypoints, each as a dict with at least Position [longitude, latitude], optionally Id mode|string *optional*|Output mode: 'summary' (default) or 'raw' for all AWS fields travel_mode|string *optional*|Travel mode: 'Car', 'Truck', 'Walking', or 'Bicycle' (default: 'Car')
Tool: reverse_geocode
Reverse geocode coordinates to an address using Amazon Location Service geo-places reverse_geocode API. Parameters|Type|Description -|-|- latitude|number|Latitude of the location longitude|number|Longitude of the location
Tool: search_nearby
Search for places near a location using Amazon Location Service geo-places search_nearby API. If no results, expand the radius up to max_radius. Output is standardized and includes all fields, even if empty or not available. Parameters|Type|Description -|-|- latitude|number|Latitude of the center point longitude|number|Longitude of the center point max_results|integer *optional*|Maximum number of results to return query|string *optional*|Optional search query radius|integer *optional*|Search radius in meters
Tool: search_places
Search for places using Amazon Location Service geo-places search_text API. Geocode the query using the geocode API to get BiasPosition. If no results, try a bounding box filter. Includes contact info and opening hours if present. Output is standardized and includes all fields, even if empty or not available. Parameters|Type|Description -|-|- query|string|Search query (address, place name, etc.) max_results|integer *optional*|Maximum number of results to return mode|string *optional*|Output mode: 'summary' (default) or 'raw' for all AWS fields
Tool: search_places_open_now
Search for places that are open now using Amazon Location Service geo-places search_text API and filter by opening hours. If no open places, expand the search radius up to max_radius. Uses BiasPosition from geocode. Parameters|Type|Description -|-|- query|string|Search query (address, place name, etc.) initial_radius|integer *optional*|Initial search radius in meters for expansion
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Data source
Cumulative pull counts and stars come from the public Docker Hub API. Pulls count image downloads (including automated CI pulls), not installs or users.
Listing: https://hub.docker.com/r/mcp/aws-location-mcp-server. First seen Oct 16, 2026; last successful collection Oct 18, 2026. See the methodology.