Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AWS Location Service with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Estimate AWS Location Service capacity, resource usage, and operational performance.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete AWS Location Service capability set.

These are the exact actions your AI can choose when you ask it to work with AWS Location Service.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AWS Location Service.

  1. 01

    Calculate tracking workload

    Estimates the hourly processing load and identifies if the tracking density is within recommended thresholds

  2. 02

    Evaluate operational performance

    Predicts the operational characteristics of the geofencing setup, including latency and data storage requirements

  3. 03

    Calculate account resource usage

    Evaluates the consumption of various AWS Location Service account-level resources against recommended limits

  4. 04

    Calculate geofence capacity

    Determines if the requested geofence configuration stays within technical constraints and recommended operational limits

Observed, not estimated

771ms average. Fast in production.

AWS Location Service is checked daily against the live service.

Daily averagePeak 1007ms
Aug 24Today
Fastest day
708ms
Slowest day
1007ms
14-day trend
Stable-4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AWS Location Service, so you can see the experience inside your AI.

It does not authenticate your account with AWS Location Service. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AWS Location Service Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_UeZFpNouK0BLsKL4EqMZNCcRBpcYWTU1HXc468i3/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AWS Location Service capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "aws-location-service-geofencing-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UeZFpNouK0BLsKL4EqMZNCcRBpcYWTU1HXc468i3/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions AWS Location Service owners ask.

  • 01

    What is the recommended number of geofences?

    For optimal performance, it is recommended to keep the total number of geofences at or below 10,000.

  • 02

    How many vertices can a single geofence have?

    A single geofence must not exceed 1,000 vertices.

  • 03

    Can I use this to estimate my AWS costs?

    This capability estimates resource utilization and capacity limits to help with planning, but it does not provide direct AWS billing estimates.

Explore

More in Utilities

Suggestions