How to Use the HyperTrack MCP in Cursor

Q: How do I configure HyperTrack in my Cursor project?

Create a .cursor/mcp.json file in your project root and add the server configuration. This enables the tracking tools for Cursor's AI agent immediately.

Q: Can the Cursor agent modify live HyperTrack trips?

The Cursor agent can query active tracking paths using gettrip and listtrips to write code. It acts as an analytical tool to help you build your logistics logic.

Q: Does this HyperTrack integration work with Cursor Agent mode?

Yes, the Cursor agent can run commands like listworkers to analyze your active workforce. This lets the MCP Server feed live driver availability data directly into your code generation prompts.

Generate delivery logic using real-time telemetry inside Cursor with this native tracking integration.

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Connect HyperTrack MCP to Cursor

Create your Vinkius account to connect HyperTrack to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup HyperTrack with Cursor

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Build live tracking features in Cursor

Calling `get_device` or `list_devices` inside Cursor lets you pull real coordinates and battery levels directly into your active workspace. This MCP integration lets you build tracking features using real hardware payloads instead of mock data. The Cursor agent writes your backend routes using real coordinates and battery levels. You get working code that handles actual device payloads on the first try.

Debug routing errors using this MCP Server

Invoking `get_trip` or `list_trips` inside Cursor lets you import the exact JSON payload of any failing route. You don't have to guess why a route calculation failed. Cursor reads the trip status and automatically suggests the correct error-handling logic. You can write your fallback code based on real-world routing exceptions.

Manage geofences directly from your editor

Running `get_geofence` or `list_geofences` inside Cursor lets you inspect active boundaries directly from your chat. Setting up virtual boundaries usually requires switching between your IDE and a browser. Your coding agent reads these geofence structures to generate precise spatial queries. This keeps your local database models perfectly aligned with your live tracking setup.

Setup guide

Set up HyperTrack MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the HyperTrack MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent HyperTrack transactions." If the MCP tools are loaded correctly, Cursor will call the HyperTrack tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "hypertrack-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about HyperTrack MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the server configuration. This enables the tracking tools for Cursor's AI agent immediately.

The Cursor agent can query active tracking paths using `get_trip` and `list_trips` to write code. It acts as an analytical tool to help you build your logistics logic.

Yes, the Cursor agent can run commands like `list_workers` to analyze your active workforce. This lets the MCP Server feed live driver availability data directly into your code generation prompts.

Open the Cursor chat panel and look for the tool icon. You will see the complete list of tools, including `get_device` and `get_geofence`, ready for the agent to use.

Your raw device coordinates and worker IDs are transmitted directly between your local machine and the API endpoint. No tracking telemetry is stored or cached by the MCP client.

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