How do I find my DVLA API Key?

Register at the [**DVLA Developer portal**](https://developer-portal.driver-vehicle-licensing.api.gov.uk/), create an application, and you will receive your API Key. Copy and paste it below.

Does it support vehicles outside the UK?

No. The DVLA API only provides data for vehicles registered within the United Kingdom.

Can the agent check if a car has a valid MOT?

Yes. The `get_vehicle_mot_status` tool returns the current status and expiry date of the MOT for any specified registration number.

DVLA Vehicle API MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: DVLA Vehicle API
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect DVLA Vehicle API through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to DVLA Vehicle API "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in DVLA Vehicle API?"
    )
    print(result.data)

asyncio.run(main())

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* 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 DVLA Vehicle API MCP Server

Empower your AI agent to orchestrate your entire automotive research and vehicle auditing workflow with DVLA Vehicle API, the official source for United Kingdom vehicle data. By connecting the Driver and Vehicle Licensing Agency (DVLA) API to your agent, you transform complex registration lookups into a natural conversation. Your agent can instantly verify tax and MOT statuses, audit vehicle specifications, and retrieve environmental metadata without you ever touching a government portal. Whether you are conducting fleet management or verifying a vehicle's history, your agent acts as a real-time automotive consultant, ensuring your data is always grounded in official, government-verified records.

Pydantic AI validates every DVLA Vehicle API tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Vehicle Auditing — Retrieve comprehensive details for any UK-registered vehicle, including make, model, and registration metadata.
Status Oversight — Verify current tax and MOT status to maintain strict control over legal compliance and expiration dates.
Specification Intelligence — Query technical specs such as engine capacity, fuel type, and colour to assist in vehicle identification.
Environmental Monitoring — Retrieve CO2 emission data and fuel types to understand the environmental footprint of specific vehicles.
Operational Monitoring — Check API status to ensure your automotive research workflow is always operational.

The DVLA Vehicle API MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI 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 DVLA Vehicle API to Pydantic AI via MCP

Follow these steps to integrate the DVLA Vehicle API MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from DVLA Vehicle API with type-safe schemas

Why Use Pydantic AI with the DVLA Vehicle API MCP Server

Pydantic AI provides unique advantages when paired with DVLA Vehicle API through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DVLA Vehicle API integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your DVLA Vehicle API connection logic from agent behavior for testable, maintainable code

DVLA Vehicle API + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the DVLA Vehicle API MCP Server delivers measurable value.

Type-safe data pipelines: query DVLA Vehicle API with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple DVLA Vehicle API tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query DVLA Vehicle API and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock DVLA Vehicle API responses and write comprehensive agent tests

DVLA Vehicle API MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect DVLA Vehicle API to Pydantic AI via MCP:

check_api_status

Check if the DVLA Vehicle Enquiry API is operational

get_vehicle_details

Get comprehensive details for a UK vehicle by registration number

get_vehicle_environmental_data

Get CO2 emissions and fuel type details for a vehicle

get_vehicle_mot_status

Check the current MOT status and expiry date for a vehicle

get_vehicle_specifications

Get technical specifications (make, model, engine) for a vehicle

get_vehicle_tax_status

Check the current tax status and due date for a vehicle

Example Prompts for DVLA Vehicle API in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with DVLA Vehicle API immediately.

"Get details for UK vehicle with registration 'AA11AAA' using DVLA Vehicle API."

"What is the MOT status for registration 'BB22BBB'?"

"Show specifications for car registration 'CC33CCC'."

Troubleshooting DVLA Vehicle API MCP Server with Pydantic AI

Common issues when connecting DVLA Vehicle API to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

DVLA Vehicle API + Pydantic AI FAQ

Common questions about integrating DVLA Vehicle API MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your DVLA Vehicle API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.