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DVLA Vehicle API MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DVLA Vehicle API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

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

        agent = Agent(
            name="DVLA Vehicle API Assistant",
            instructions=(
                "You help users interact with DVLA Vehicle API. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DVLA Vehicle API"
        )
        print(result.final_output)

asyncio.run(main())
DVLA Vehicle API
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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.

The OpenAI Agents SDK auto-discovers all 6 tools from DVLA Vehicle API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DVLA Vehicle API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the DVLA Vehicle API MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 6 tools from DVLA Vehicle API

Why Use OpenAI Agents SDK with the DVLA Vehicle API MCP Server

OpenAI Agents SDK provides unique advantages when paired with DVLA Vehicle API through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

DVLA Vehicle API + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DVLA Vehicle API MCP Server delivers measurable value.

01

Automated workflows: build agents that query DVLA Vehicle API, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries DVLA Vehicle API, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through DVLA Vehicle API tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query DVLA Vehicle API to resolve tickets, look up records, and update statuses without human intervention

DVLA Vehicle API MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect DVLA Vehicle API to OpenAI Agents SDK via MCP:

01

check_api_status

Check if the DVLA Vehicle Enquiry API is operational

02

get_vehicle_details

Get comprehensive details for a UK vehicle by registration number

03

get_vehicle_environmental_data

Get CO2 emissions and fuel type details for a vehicle

04

get_vehicle_mot_status

Check the current MOT status and expiry date for a vehicle

05

get_vehicle_specifications

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

06

get_vehicle_tax_status

Check the current tax status and due date for a vehicle

Example Prompts for DVLA Vehicle API in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DVLA Vehicle API immediately.

01

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

02

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

03

"Show specifications for car registration 'CC33CCC'."

Troubleshooting DVLA Vehicle API MCP Server with OpenAI Agents SDK

Common issues when connecting DVLA Vehicle API to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DVLA Vehicle API + OpenAI Agents SDK FAQ

Common questions about integrating DVLA Vehicle API MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect DVLA Vehicle API to OpenAI Agents SDK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.