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Amazon Location Service

by docker ✓ verified ✓ Packaged by Docker

Place search, geocoding, and route optimization.

MCP server installable needs setup network: on runtime: sysbox

MCP Servers

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 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

Use this MCP Server

{
  "mcpServers": {
    "aws-location": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "AWS_REGION",
        "-e",
        "AWS_PROFILE",
        "-e",
        "AWS_ACCESS_KEY_ID",
        "-e",
        "AWS_SECRET_ACCESS_KEY",
        "-e",
        "AWS_SESSION_TOKEN",
        "mcp/aws-location-mcp-server"
      ],
      "env": {
        "AWS_REGION": "us-east-1",
        "AWS_PROFILE": "default",
        "AWS_ACCESS_KEY_ID": "AKIAIOSFODNN7EXAMPLE",
        "AWS_SECRET_ACCESS_KEY": "your-aws-secret-access-key",
        "AWS_SESSION_TOKEN": "your-aws-session-token"
      }
    }
  }
}

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