Amazon Location Service MCP Server
Amazon Location Service is a fully managed suite of geospatial services provided by Amazon Web Services (AWS), designed to empower developers to build location-aware applications with ease and scale.
Quick Start Summary
The Amazon Location Service MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Amazon Location Service API through natural language. It exposes 10 API endpoints as callable tools, such as AssociateTrackerConsumer, BatchDeleteDevicePositionHistory, BatchDeleteGeofence, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-location. This integration is sourced from the auto Amazon Location Service OpenAPI specification (v2020-11-19) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Developer Tools
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2020-11-19
- Install Command
npx -y @mcp/amazonaws-com-location
Environment Variables
AMAZON_LOCATION_SERVICE_API_KEYExample: your_amazon_location_service_api_key
Top Endpoints
/tracking/v0/trackers/{TrackerName}/consumersAssociateTrackerConsumer
/tracking/v0/trackers/{TrackerName}/delete-positionsBatchDeleteDevicePositionHistory
/geofencing/v0/collections/{CollectionName}/delete-geofencesBatchDeleteGeofence
/geofencing/v0/collections/{CollectionName}/positionsBatchEvaluateGeofences
/tracking/v0/trackers/{TrackerName}/get-positionsBatchGetDevicePosition
One-Click Install
Copy the snippet for your MCP client and paste it in — zero editing required.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"amazonaws-com-location": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-location"
],
"env": {
"AMAZON_LOCATION_SERVICE_API_KEY": "your_amazon_location_service_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-location": {
"url": "https://mcpbridge.org/config/amazonaws-com-location.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-location": {
"url": "https://mcpbridge.org/config/amazonaws-com-location.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling Amazon Location Service endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/location/2020-11-19/tracking/v0/trackers/{TrackerName}/consumers" \
-H "Content-Type: application/json" \
# No auth requiredManual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"amazonaws-com-location": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-location"],
"env": {
"AMAZON_LOCATION_SERVICE_API_KEY": "your_amazon_location_service_api_key"
}
}
}
}Authentication Details
No authentication required. This MCP server runs out-of-the-box.
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking Amazon Location Service endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v2020-11-19
Page compiled on: June 13, 2026
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📖 Detailed MCP Integration Guide
A technical breakdown of capabilities, agent workflows, and security/configuration best practices.
get-positions endpoint for the specified tracker and the geofencing collection's position data to perform the analysis. Furthermore, the AI could be instructed to automate the maintenance of geospatial data, such as "Update the geofences in the 'Restricted-Airspace' collection to match the new regulatory boundaries I've specified in this CSV file." The AI would parse the data and use the put-geofences endpoint to manage the collection efficiently. For routing tasks, a command like "Generate a route matrix showing travel times from our three main warehouses to these ten retail stores, accounting for current traffic" would see the AI utilizing the route matrix calculator endpoint to produce a valuable logistical dataset.geo: permissions needed for the specific tracker and geofencing collection resources the application will use (e.g., geo:GetDevicePosition, geo:BatchPutGeofence). Never hardcode credentials in client-side code; instead, use environment variables or secure secrets management. It is also recommended to enable AWS CloudTrail to log all API calls to Amazon Location Service for comprehensive auditing and monitoring of all activities conducted by the AI agent or the application.Similar APIs
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