Axle MCP Server for Google ADK 12 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Axle 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="axle_agent",
instruction=(
"You help users interact with Axle "
"using 12 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 Axle MCP Server
Empower your AI agent to orchestrate your entire logistics operation with Axle, the comprehensive fleet management platform. By connecting Axle to your agent, you transform complex supply chain monitoring into a natural conversation. Your agent can instantly track real-time vehicle locations, audit driver duty statuses, monitor shipment progress, and retrieve essential shipping documents without you ever touching a heavy transportation dashboard. Whether you're managing a local delivery crew or a national trucking network, your agent acts as a real-time dispatch coordinator, ensuring your fleet is always moving and compliant.
Google ADK natively supports Axle as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 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
- Vehicle Tracking — List all vehicles in your fleet and retrieve real-time GPS locations and technical health details.
- Driver Management — Audit driver profiles, monitor current duty statuses (On Duty, Driving, etc.), and check available Hours of Service (HOS).
- Load Orchestration — Monitor shipment progress, list active loads, and update shipment details dynamically via natural language.
- Document Retrieval — Access scanned shipping documents and paperwork associated with specific loads for instant auditing.
- System Health — Quickly verify connection status and logistics network integrity directly from your chat interface.
The Axle MCP Server exposes 12 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 Axle to Google ADK via MCP
Follow these steps to integrate the Axle 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 12 tools from Axle via MCP
Why Use Google ADK with the Axle MCP Server
Google ADK provides unique advantages when paired with Axle 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 Axle
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 Axle tools with BigQuery, Vertex AI, and Cloud Functions
Axle + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Axle MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Axle and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Axle tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Axle regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Axle
Axle MCP Tools for Google ADK (12)
These 12 tools become available when you connect Axle to Google ADK via MCP:
get_account_check
Verify Axle connection and system health
get_driver
Get specific profile details for a driver
get_driver_availability
Check a driver remaining hours of service (HOS)
get_load
Get details for a specific load
get_vehicle
Get specific details for a single vehicle
get_vehicle_location
Get the last known GPS location of a vehicle
list_documents
Retrieve scanned shipping documents associated with shipments
list_drivers
List all drivers in the system
list_loads
List all shipments/loads
list_vehicles
List all vehicles in the fleet
update_driver_status
Update a driver current duty status
update_load
Update a load/shipment details
Example Prompts for Axle in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Axle immediately.
"Where is vehicle ID 'TRUCK-101' right now?"
"List all active loads and their current status."
"Check the available Hours of Service (HOS) for driver 'John Doe'."
Troubleshooting Axle MCP Server with Google ADK
Common issues when connecting Axle to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAxle + Google ADK FAQ
Common questions about integrating Axle 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 Axle 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.
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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 Axle to Google ADK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
