Bring Location Tracking
to Vercel AI SDK
Learn how to connect HyperTrack to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the HyperTrack MCP Server?
Empower your AI agents to manage your logistics and field operations with HyperTrack. This MCP server allows you to list tracked devices, monitor active trips, manage geofences, track field workers, and view order statuses directly through the HyperTrack API. Ideal for automating last-mile delivery and field service management.
Built-in capabilities (10)
Retrieves details for a specific device
Retrieves details for a specific geofence
Retrieves details for a specific order
Retrieves details for a specific trip
Retrieves details for a specific worker
Lists all registered devices
Lists all geofences
Lists all orders
Lists all trips
Lists all workers
Why Vercel AI SDK?
The Vercel AI SDK gives every HyperTrack tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same HyperTrack integration everywhere
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Built-in streaming UI primitives let you display HyperTrack tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
HyperTrack in Vercel AI SDK
HyperTrack and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect HyperTrack to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for HyperTrack in Vercel AI SDK
The HyperTrack MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
HyperTrack for Vercel AI SDK
Every tool call from Vercel AI SDK to the HyperTrack MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp