Track-POD MCP Server for Google ADKGive Google ADK instant access to 7 tools to Create Order, Get Order By Number, List Drivers, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Track-POD as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Track-POD app connector for Google ADK is a standout in the Erp Operations category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="track_pod_agent",
instruction=(
"You help users interact with Track-POD "
"using 7 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 Track-POD MCP Server
Connect your Track-POD delivery automation account to any AI agent and simplify how you coordinate your logistics, track orders, and manage your fleet through natural conversation.
Google ADK natively supports Track-POD as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Order Management — List all delivery orders and create new unscheduled tasks with client details and addresses.
- Route Oversight — List and monitor active or planned delivery routes to ensure on-time fulfillment.
- Fleet Coordination — Query your directory of drivers and vehicles to understand availability and distribution.
- Real-time Tracking — Fetch detailed metadata for specific orders using their unique order numbers.
- Operational Monitoring — Verify API connectivity and check rate limits directly from the agent.
- Logistics Insights — Retrieve high-level summaries of your delivery ecosystem status.
The Track-POD MCP Server exposes 7 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.
All 7 Track-POD tools available for Google ADK
When Google ADK connects to Track-POD through Vinkius, your AI agent gets direct access to every tool listed below — spanning delivery-management, route-optimization, proof-of-delivery, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Requires order number and client name. Create a new delivery order
Get details for a specific order
List all drivers
List all Track-POD orders
List delivery routes
List all vehicles
Test API key and connection
Connect Track-POD to Google ADK via MCP
Follow these steps to wire Track-POD into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Track-POD MCP Server
Google ADK provides unique advantages when paired with Track-POD 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 Track-POD
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 Track-POD tools with BigQuery, Vertex AI, and Cloud Functions
Track-POD + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Track-POD MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Track-POD and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Track-POD tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Track-POD regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Track-POD
Example Prompts for Track-POD in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Track-POD immediately.
"List all active delivery routes in my account."
"Show me the details for order #ORD-8823."
"Create a new order #ORD-9902 for 'Tech Solutions' at '123 Main St'."
Troubleshooting Track-POD MCP Server with Google ADK
Common issues when connecting Track-POD to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkTrack-POD + Google ADK FAQ
Common questions about integrating Track-POD MCP Server with Google ADK.