3,400+ servers built on vurb.ts
Vinkius
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Bring Location Tracking
to LlamaIndex

Learn how to connect HyperTrack to LlamaIndex and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get DeviceGet GeofenceGet OrderGet TripGet WorkerList DevicesList GeofencesList OrdersList TripsList Workers
HyperTrack

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)

get_device

Retrieves details for a specific device

get_geofence

Retrieves details for a specific geofence

get_order

Retrieves details for a specific order

get_trip

Retrieves details for a specific trip

get_worker

Retrieves details for a specific worker

list_devices

Lists all registered devices

list_geofences

Lists all geofences

list_orders

Lists all orders

list_trips

Lists all trips

list_workers

Lists all workers

Why LlamaIndex?

LlamaIndex agents combine HyperTrack tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine HyperTrack tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain HyperTrack tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query HyperTrack, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what HyperTrack tools were called, what data was returned, and how it influenced the final answer

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See it in action

HyperTrack in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

HyperTrack and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect HyperTrack to LlamaIndex 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for HyperTrack in LlamaIndex

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 LlamaIndex 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.

HyperTrack
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures HyperTrack for LlamaIndex

Every tool call from LlamaIndex to the HyperTrack MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I get HyperTrack API credentials?

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

02

Which version of the API is used?

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

03

Can I track individual workers?

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

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query HyperTrack tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp