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HyperTrack MCP. Monitor every asset, worker, and order in real time.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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HyperTrack MCP on Cursor AI Code Editor MCP Client HyperTrack MCP on Claude Desktop App MCP Integration HyperTrack MCP on OpenAI Agents SDK MCP Compatible HyperTrack MCP on Visual Studio Code MCP Extension Client HyperTrack MCP on GitHub Copilot AI Agent MCP Integration HyperTrack MCP on Google Gemini AI MCP Integration HyperTrack MCP on Lovable AI Development MCP Client HyperTrack MCP on Mistral AI Agents MCP Compatible HyperTrack MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

HyperTrack manages logistics and field operations via an MCP Server. It gives your AI agent direct access to core tracking data: list devices, monitor active trips, check geofence boundaries, and view worker details.

Automate last-mile delivery planning and field service management by accessing real-time location, order, and asset status records.

What your AI agents can do

Get device

Pulls the current details for a specific tracked device using its ID.

Get geofence

Retrieves the specific boundary coordinates and details for a named geofence.

Get order

Gets all relevant details for a single order ID, including product and destination information.

+ 7 more capabilities included
List all tracked assets

The agent retrieves a list of every device registered in the system, providing an inventory snapshot.

Check specific device status

The agent pulls detailed information for one device ID, including its current location and status.

Monitor active journeys

The agent gets detailed information about a specific trip, including start/end points and timestamps.

Manage defined zones

The agent lists all configured geofences or retrieves the precise boundary data for a specific zone.

View order progress

The agent retrieves the current status and details for a given order ID.

Identify field personnel

The agent lists all workers and pulls individual profiles, including their current assignment or location.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

HyperTrack MCP Server: 10 Tools for Location & Logistics

These tools let your AI agent access and structure critical data about devices, trips, orders, and workers from the HyperTrack API.

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get device

Pulls the current details for a specific tracked device using its ID.

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get geofence

Retrieves the specific boundary coordinates and details for a named geofence.

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get order

Gets all relevant details for a single order ID, including product and destination information.

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get trip

Fetches the complete history and details for one specific trip ID.

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get worker

Retrieves the profile and current status of a single field worker.

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list devices

Returns a list of every device currently registered in the HyperTrack system.

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list geofences

Provides a full list of all existing geofence boundaries configured for the area.

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list orders

Returns a list of all orders in the system, often used to find IDs for further queries.

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list trips

Returns a list of all trip IDs, allowing you to select a specific journey for detail retrieval.

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list workers

Returns a list of all registered field workers by name or ID.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Start with HyperTrack, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector

HyperTrack MCP Server - Track Assets & Trips via AI

This server connects your AI client to HyperTrack's core logistics data. Your agent uses it to manage field operations, track assets, and monitor worker movements. You can get a full picture of everything happening on the ground, all from your AI client.

List all tracked assets: Your agent runs list_devices to get a complete inventory of every device registered in the system. For specific tracking, it uses get_device to pull the current details, location, and status of a single tracked ID.

Monitor field workers: Your agent runs list_workers to pull a list of every field worker. You can then run get_worker to get a specific worker's profile and current status or assignment details.

Track deliveries and orders: Your agent runs list_orders to get a list of all existing order IDs. It then uses get_order to pull all relevant details for a specific order, including product and destination info. To track movement, the agent runs list_trips to get all trip IDs, and then uses get_trip to fetch the complete history and details for any given journey.

Manage boundaries and zones: Your agent runs list_geofences to get a full list of every configured geofence boundary. If you need the specific coordinates for one zone, it runs get_geofence with the name.

Getting Started: Your agent can also check the status of all existing journeys by running list_trips, and it can list all available orders by running list_orders.

How HyperTrack MCP Works

  1. 1 Your AI client identifies the required data point (e.g., 'I need to know the order status').
  2. 2 The agent calls the specific tool (e.g., get_order) and provides necessary inputs (e.g., order ID).
  3. 3 The server executes the call against the HyperTrack API and returns the structured data payload to the agent for use.

The bottom line is that your agent interacts with the HyperTrack API using defined tools, letting you access complex logistics data without writing boilerplate integration code.

Who Is HyperTrack MCP For?

The field operations manager who needs to know where every asset is, right now. The logistics coordinator who can't afford delayed deliveries. The fleet manager who needs to monitor compliance against geofences. If your job depends on real-time location and asset status, this is for you.

Logistics Coordinator

Checks the status of all pending orders, ensuring the right worker is assigned to the correct delivery route.

Field Operations Manager

Monitors the real-time movement of multiple workers and vehicles, confirming they stay within defined work zones.

Fleet Manager

Maintains an inventory of all tracked devices and checks them against defined geofence boundaries to detect anomalies.

What Changes When You Connect

  • Check asset status instantly. Instead of logging into a dashboard to see if a device is online, your agent calls get_device and gives you the status immediately.
  • Manage delivery boundaries with precision. Use list_geofences to see all zones, then get_geofence to confirm the exact coordinates for a specific drop-off area.
  • Track the entire journey. When you need to know why an order is late, your agent runs get_trip and get_order together, pulling the full context in one go.
  • Optimize field staff deployment. Running list_workers and then get_worker lets you quickly see which team member is nearest to a required service location.
  • Automate fulfillment checks. You can use list_orders to pull a batch of IDs, then get_order on each one to confirm if the order is ready for pickup.
  • Simplify fleet oversight. Use list_devices to get the full roster, and list_trips to see the current operational load across the entire fleet.

Real-World Use Cases

01

A delivery driver needs to confirm the destination zone.

The driver asks the agent: 'Is this location inside a designated service zone?' The agent first runs list_geofences to see available zones, then uses get_geofence with the coordinates. The agent confirms if the drop-off point is compliant with the required service area.

02

The dispatcher needs to find the closest available worker.

The dispatcher asks: 'Which worker can handle this new emergency call?' The agent runs list_workers to see available staff, then uses get_worker to check their current status and location relative to the job site. This prevents sending staff who are already occupied.

03

The operations team needs a full status report for a complex shipment.

The team asks: 'Give me the full picture for Order XYZ.' The agent runs get_order first to confirm the goal, then uses get_trip to see the movement history, and finally checks get_device to confirm the tracking asset is active.

04

Reviewing a failed delivery attempt.

The manager asks: 'Why did Order ABC fail?' The agent uses get_order to check the failure reason, then runs get_trip to see the last known location, and checks get_geofence to see if the failure happened outside a valid zone.

The Tradeoffs

Treating the API like a database query

Manually trying to write complex SQL joins in the agent prompt, asking it to 'JOIN orders with trips where status=complete.' The agent will fail because it can only call specific tools, not run custom database queries.

Instead, let your agent sequence the calls: First, call list_orders to get a list of IDs. Then, call get_order on the relevant IDs. Finally, call get_trip using the resulting order ID to build the complete picture.

Ignoring the difference between list and get

Asking the agent for 'all devices' but only providing a single device ID. The agent will fail or return incomplete data because it cannot distinguish between listing all assets and checking one specific asset.

Use list_devices to get the full inventory. If you need details on a specific asset later, use get_device and pass the unique device ID.

Assuming real-time data availability

Asking the agent to check the location of a trip that happened last month, expecting current, live coordinates. The get_trip tool returns historical logs, not live data.

For current status, use get_device and get_worker. For past events, use get_order or get_trip to retrieve the immutable, recorded data.

When It Fits, When It Doesn't

Use this MCP Server if your core business process involves tracking physical assets, personnel, or goods across defined geographical boundaries. You need to know where something is and when it was there.

Do Use It If: You need to correlate location data (e.g., a device's position) with business data (e.g., an order ID or worker profile). You must automate workflows that check compliance against defined geofences.

Don't Use It If: Your problem is purely transactional (e.g., updating a customer's address, processing a payment). For those, you need a dedicated CRM or payment gateway API. If you only need to read a single piece of static data (e.g., a tax rate), a simple REST API might suffice. This server is for complex, location-dependent workflows.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HyperTrack. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_device get_geofence get_order get_trip get_worker list_devices list_geofences list_orders list_trips list_workers

Manually checking asset status across multiple screens takes forever.

Today, checking a single delivery's status means logging into the dispatch dashboard, finding the order ID, switching to the asset tracking tab, and then cross-referencing the worker's status in a separate 'Personnel' tab. You copy IDs and paste them into different forms, and the data is never perfectly synchronized.

With HyperTrack, your agent runs a single command. It executes `get_order` for the status, runs `get_device` for the location, and pulls `get_worker` for the personnel status. The agent synthesizes this into one coherent answer for you.

HyperTrack MCP Server: Get full logistics status in one query.

The old way required running three separate reports: the Order Report, the Trip Log, and the Device Inventory. You'd have to manually align the timestamps and IDs in a spreadsheet just to answer, 'Where is Order 123 right now?'

Now, your agent handles the sequence. It pulls the order details, then traces the associated trip history, and finally gives you the live device location, all without you having to think about the underlying API calls.

Common Questions About HyperTrack MCP

How do I use the `list_devices` tool with HyperTrack? +

The list_devices tool pulls the full inventory of registered assets. It doesn't require any input parameters; it simply returns a list of all device IDs and basic metadata.

What is the difference between `get_device` and `list_devices`? +

list_devices gives you the names and IDs of every device. get_device takes a specific ID and returns the current, detailed status (location, battery, etc.) for only that one device.

Can I use `get_order` to find a worker's location? +

No. get_order only provides details about the order itself (items, destination, status). You must use get_worker or get_device to find location data for personnel or assets.

How do I check if a trip happened inside a geofence? +

Your agent can sequence the calls. First, use get_geofence to get the boundaries. Then, use get_trip to get the historical coordinates and check them against the boundary data provided by the first tool.

How do I list all the geofences using the `list_geofences` tool? +

You call list_geofences() to see every boundary. This function returns the names, coordinates, and defined boundaries for all geofences configured in your account.

If I need to check a specific worker's details, which tool should I use? Should I use `get_worker` or `list_workers`? +

You use get_worker(worker_id) to pull specific details. If you just want a list of all available worker IDs, use list_workers() first.

What happens if I try to `get_trip` with an invalid trip ID? +

The system returns a standard HTTP 404 error. You'll need to check the trip ID against the list provided by list_trips before calling get_trip.

How do I get the current location of a registered device using `get_device`? +

The get_device(device_id) tool returns the device's most recent reported location coordinates, along with its status and battery life.

How do I get HyperTrack API credentials? +

You can find your Account ID and Secret Key in the HyperTrack dashboard under the Setup page.

Which version of the API is used? +

This MCP uses HyperTrack API v3, the latest version for location tracking and operations.

Can I track individual workers? +

Yes, the list_workers tool provides access to field worker metadata and their current tracking status.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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