HyperTrack MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add HyperTrack as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="hypertrack_agent",
instruction=(
"You help users interact with HyperTrack "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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
About 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.
Google ADK natively supports HyperTrack as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
The HyperTrack MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect HyperTrack to Google ADK via MCP
Follow these steps to integrate the HyperTrack MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from HyperTrack via MCP
Why Use Google ADK with the HyperTrack MCP Server
Google ADK provides unique advantages when paired with HyperTrack through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with HyperTrack
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine HyperTrack tools with BigQuery, Vertex AI, and Cloud Functions
HyperTrack + Google ADK Use Cases
Practical scenarios where Google ADK combined with the HyperTrack MCP Server delivers measurable value.
Enterprise data agents: ADK agents query HyperTrack and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine HyperTrack tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query HyperTrack regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including HyperTrack
HyperTrack MCP Tools for Google ADK (10)
These 10 tools become available when you connect HyperTrack to Google ADK via MCP:
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
Example Prompts for HyperTrack in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with HyperTrack immediately.
"List all devices currently being tracked in HyperTrack."
"Show me the details for trip ID 'abc-123'."
"Check for any active geofences in the system."
Troubleshooting HyperTrack MCP Server with Google ADK
Common issues when connecting HyperTrack to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkHyperTrack + Google ADK FAQ
Common questions about integrating HyperTrack MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect HyperTrack with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect HyperTrack to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.