How to Use the Fleetio MCP in Google ADK

Feed Fleetio maintenance and fuel logs directly into Google ADK enterprise agents.

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Connect Fleetio MCP to Google ADK

Create your Vinkius account to connect Fleetio to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Fleetio with Google ADK

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Run Google ADK agents on Fleetio MCP Server tools

This integration connects Gemini models directly to your fleet database. Your agent can pull active issues using `list_issues` and cross-reference them with your corporate data warehouse. Because Gemini handles massive context windows, your Google ADK agent can analyze months of `list_work_orders` history in a single turn. It finds patterns in component failures that standard alerts miss.

BigQuery integration with fleet telemetry

Connect your vehicle data to Google Cloud services. The agent pulls vehicle details via MCP using `get_vehicle` and matches them against telemetry tables stored in BigQuery. When a discrepancy occurs, the agent runs `create_meter_entry` to correct the odometer reading. This keeps your cloud analytics and your fleet database perfectly synchronized.

Vendor and contact matching

Manage your external maintenance networks through enterprise agents. The agent queries `list_contacts` and `list_vendors` to find nearby mechanics when a truck breaks down. Once a vendor is selected, the agent checks `get_service_reminder` to bundle other pending maintenance tasks into the same shop visit. This reduces vehicle downtime and cuts transport costs.

Setup guide

Set up Fleetio MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Fleetio tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Fleetio_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fleetio tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fleetio. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Fleetio MCP in Google ADK

Instantiate the MCP toolset with the streamable HTTP server parameters pointing to your Vinkius endpoint. Pass this toolset object directly into the tools list of your Google ADK LlmAgent.

Yes. You can use the optional tool names filter in the Google ADK configuration to expose only specific tools like `list_vehicles` while hiding write operations.

The framework supports both Stdio and HTTP transports. For hosted cloud agents, the streamable HTTP transport is the cleanest way to connect to your Fleetio instance.

Gemini natively parses the tool definitions exposed by the server. When the model needs to check a vehicle, it maps the required arguments to `get_vehicle` or `list_vehicles` automatically.

All contact lists, service reminders, and work orders are processed in transit using end-to-end encryption. The Vinkius runtime executes the MCP Server in a zero-trust environment, ensuring your operational data never touches persistent storage.

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