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How to Use the UK ONS Population — Deaths, Well-being & Demographics MCP in OpenAI Agents SDK

Run full demographic analysis with your AI client using the OpenAI Agents SDK.

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Connect UK ONS Population — Deaths, Well-being & Demographics MCP to OpenAI Agents SDK

Create your Vinkius account to connect UK ONS Population — Deaths, Well-being & Demographics 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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Analyze Demographics in Code

The `get_population_projections` tool gives you UK population estimates for older people and sex ratios, broken down by local authority. You can pass these projections directly into your agent's workflow to model future resource needs. Using the OpenAI Agents SDK means your agent auto-discovers this MCP Server’s capability. The built-in guardrails validate the tool call before it runs, so you don't risk feeding bad data into your production system.

Process Weekly Death Data

You can pull weekly death registrations for England and Wales using `get_weekly_deaths`. This function lets you filter by age, sex, or specific regions. It's critical data when assessing public health trends. When integrating this MCP Server with your agent, the SDK handles streamable responses automatically. Your agent gets real-time updates on mortality rates without needing complex polling logic.

Assess Well-being by Area

The `get_wellbeing_local` tool delivers well-being estimates—things like life satisfaction and happiness—for specific local authorities. It lets you map social health indicators across the UK. Your agent uses this data to compare regional disparities, letting it pinpoint areas that need targeted intervention. This MCP Server is perfect for building comprehensive public service assessment tools.

Setup guide

Set up UK ONS Population — Deaths, Well-being & Demographics 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 Population — Deaths, Well-being & Demographics tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives UK ONS Population — Deaths, Well-being & Demographics 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 Population — Deaths, Well-being & Demographics 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 Population — Deaths, Well-being & Demographics Agent",
            instructions="You have access to UK ONS Population — Deaths, Well-being & Demographics 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 Population — Deaths, Well-being & Demographics MCP in OpenAI Agents SDK

You just tell your agent what you need. The SDK handles calling the necessary toolsets, like `get_suicides` or `get_wellbeing`, and packages the results into a clean response for you.
Yeah. The agent can manage multiple tool calls in one go. It'll pull suicide stats and then run population projections, chaining those two different datasets together for a unified analysis.
For production work, you should let your agent auto-discover all five tools. This ensures that if requirements change—say, adding a new demographic metric—you don't have to manually update the agent code.
Absolutely. You can run `get_weekly_deaths` and `get_wellbeing` concurrently. The agent manages the execution sequence and presents the combined findings.
This MCP Server touches demographic statistics. Since it deals with sensitive population and health metrics, always ensure your agent's usage adheres strictly to GDPR guidelines when handling the results.

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