How to Use the DVLA Vehicle API MCP in Google ADK

Q: How do I connect the DVLA Vehicle API to Google ADK?

Install the framework and use McpToolset to point to the server URL. You can then pass the toolset to your LlmAgent to start querying vehicle records.

Q: How do I check if the registry is online using Google ADK?

Execute the checkapistatus tool. It returns the current state of the service so your agent knows if it should proceed with a request.

Connect your Google ADK environment to UK vehicle records with this MCP Server.

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Connect DVLA Vehicle API MCP to Google ADK

Create your Vinkius account to connect DVLA Vehicle API 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 DVLA Vehicle API with Google ADK

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Direct UK vehicle lookups in Google ADK

Fetch registration details for your BigQuery datasets. Use `get_vehicle_details` to populate your agent's context with specific vehicle identifiers. Your agents can now process UK transport data alongside existing cloud infrastructure. It's a direct bridge between your Google Cloud logic and the official registry.

Automated MOT and tax status monitoring

Trigger `get_vehicle_tax_status` or `get_vehicle_mot_status` inside your Google ADK agent loop. This automates the audit process for large fleets. Handle the results using native Python structures. You no longer need to scrape external sites to verify if a vehicle is legally compliant.

Extract technical specs for fleet analysis

Pull engine and weight data using `get_vehicle_specifications`. This provides the necessary inputs for your agent to calculate fleet efficiency or tax brackets. Use `get_vehicle_environmental_data` to categorize vehicles by emissions. Your agent receives this data in a format ready for immediate processing.

Setup guide

Set up DVLA Vehicle API 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 DVLA Vehicle API 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="DVLA Vehicle API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DVLA Vehicle API 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 DVLA Vehicle API. 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 DVLA Vehicle API MCP in Google ADK

Install the framework and use `McpToolset` to point to the server URL. You can then pass the toolset to your `LlmAgent` to start querying vehicle records.

Yes, once the toolset is defined, the agent treats the tools as available actions. It can decide when to call `get_vehicle_details` based on the user's input.

It does, provided you handle the environment variables for your API keys. You can restrict which tools the agent uses by applying a filter to the toolset.

Execute the `check_api_status` tool. It returns the current state of the service so your agent knows if it should proceed with a request.

Data moves through an encrypted channel between the MCP Server and your agent. Only the registration numbers you provide to the tool are processed.

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