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How to Use the UK ONS Trade — International Trade & Business Activity MCP in OpenAI Agents SDK

Build production agents with OpenAI Agents SDK for UK ONS Trade data.

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OpenAI Agents SDK

Connect UK ONS Trade — International Trade & Business Activity MCP to OpenAI Agents SDK

Create your Vinkius account to connect UK ONS Trade — International Trade & Business Activity to OpenAI Agents SDK 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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Get business counts via OpenAI Agents SDK.

The `get_business_counts` tool pulls current UK business numbers. You get breakdowns by industry and local unit, using the Inter-Departmental Business Register (IDBR) dataset. This lets your agent know how many businesses operate where. It’s perfect for mapping economic density across different sectors.

Fetch UK trade data with OpenAI Agents SDK.

Use the `get_trade` tool to grab monthly goods trade figures. This dataset covers imports, exports, and the balance by commodity and partner country. Values are in £ million, non-seasonally adjusted. You can track national trade movements without worrying about seasonal spikes messing up your analysis.

Monitor economic shifts with OpenAI Agents SDK.

The `get_traffic_activity` tool gives you experimental economic indicators from traffic cameras. It shows real-time social and economic activity levels in the UK. You can run your agent to track how physical movement correlates with trade changes, giving a quick pulse check on local economies.

Setup guide

Set up UK ONS Trade — International Trade & Business Activity MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all UK ONS Trade — International Trade & Business Activity tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives UK ONS Trade — International Trade & Business Activity tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate UK ONS Trade — International Trade & Business Activity tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="UK ONS Trade — International Trade & Business Activity Agent",
            instructions="You have access to UK ONS Trade — International Trade & Business Activity tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UK ONS. 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 UK ONS Trade — International Trade & Business Activity MCP in OpenAI Agents SDK

The agents auto-discover all available MCP tools, so you don't need to write specific code for every data point. You just tell your agent the goal—like comparing business counts with trade patterns—and it figures out the steps.
Since agents handle handoffs between specialized tools, you can build multi-step workflows. For example, your agent could first run `get_business_counts` and then pass those regional findings to analyze them against the trade data from `get_trade`.
Yes. The built-in guardrails validate every agent action before it runs, which is critical when dealing with sensitive economic data. It ensures the request conforms to what `get_trade` or other tools expect.
The server provides monthly data, so you can analyze trends. For trade, `get_trade` gives non-seasonally adjusted values in £ million, letting you compare periods year over year.
This MCP Server touches business counts and trade values. The data is aggregated at the enterprise or commodity level, so it doesn't expose private individual information.

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