How to Use the UK ONS Economy — GDP, Inflation & Consumer Spending MCP in OpenAI Agents SDK

Q: How do I check UK ONS Economy — GDP, Inflation & Consumer Spending data using the OpenAI Agents SDK?

Just call getgdp or geteconomydataset. The server handles both quarterly and annual regional data for you. You don't need to worry about which dataset ID is right; the agent figures it out.

Q: Can I use the OpenAI Agents SDK to get real-time consumer spending metrics from UK ONS Economy — GDP, Inflation & Consumer Spending?

Yes. Use getspendingcards. This tool provides weekly data on debit and credit card usage, giving you a near real-time indicator of spending patterns.

Q: What kind of inflation data can the OpenAI Agents SDK access for UK ONS Economy — GDP, Inflation & Consumer Spending?

The server gives you CPIH via getcpih. This is the headline inflation measure from the ONS that includes housing costs. It's the official metric you need.

Get UK economic data into your OpenAI Agents SDK workflow.

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Connect UK ONS Economy — GDP, Inflation & Consumer Spending MCP to OpenAI Agents SDK

Create your Vinkius account to connect UK ONS Economy — GDP, Inflation & Consumer Spending 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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Setup UK ONS Economy — GDP, Inflation & Consumer Spending with OpenAI Agents SDK

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Perplexity

Run complex ONS queries in a single step.

Need to compare spending habits year-over-year? You can fire off targeted requests using `get_economy_dataset`. This tool lets you query any ONS dataset by ID, giving you flexible filters for regional GDP or CPIH data. It handles the messy filtering so your agent doesn't choke on parameters. This server also exposes `get_gdp`, which gives you quarterly and annual UK GDP metrics across different regions and sectors. Running it ensures your OpenAI Agents SDK can quickly build out a full economic picture, whether you need macro trends or regional deep dives.

Monitor real-time consumer spending patterns.

The `get_spending_cards` tool provides near real-time insight into how people are using their debit and credit cards. It's an experimental indicator, but it’s gold for tracking current consumer movement in the UK. Your agent can use this data to spot shifts faster than quarterly reports allow. Pairing that with `get_retail_sales` lets you compare card transactions against total sales indices. This combination gives your OpenAI Agents SDK a robust view of spending volume and value, letting you flag changes instantly.

Model the impact of taxes and benefits.

Want to know how tax policy affects household income? The `get_tax_benefits` tool calculates the redistribution effects of direct and indirect taxation. It tracks both cash and kind benefit payments, giving you a clearer picture of net household finances. This data feeds directly into your agent's logic, letting it model economic shocks better than just looking at GDP numbers alone. Your OpenAI Agents SDK can now build out simulations based on tax changes.

Setup guide

Set up UK ONS Economy — GDP, Inflation & Consumer Spending 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

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

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 Economy — GDP, Inflation & Consumer Spending tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives UK ONS Economy — GDP, Inflation & Consumer Spending tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate UK ONS Economy — GDP, Inflation & Consumer Spending 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 Economy — GDP, Inflation & Consumer Spending Agent",
            instructions="You have access to UK ONS Economy — GDP, Inflation & Consumer Spending tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 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 Economy — GDP, Inflation & Consumer Spending MCP in OpenAI Agents SDK

Just call `get_gdp` or `get_economy_dataset`. The server handles both quarterly and annual regional data for you. You don't need to worry about which dataset ID is right; the agent figures it out.

Yes. Use `get_spending_cards`. This tool provides weekly data on debit and credit card usage, giving you a near real-time indicator of spending patterns.

The server gives you CPIH via `get_cpih`. This is the headline inflation measure from the ONS that includes housing costs. It's the official metric you need.

The OpenAPI Agents SDK is great because it auto-discovers all the tools. You can build complex workflows—like comparing `get_gdp` and `get_retail_sales`—without writing boilerplate code.

This server handles official statistics covering quarterly/annual GDP by region, CPIH inflation metrics, and household income figures from the Office for National Statistics.

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