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How to Use the UK ONS Population — Deaths, Well-being & Demographics MCP in Mastra AI

Automate UK ONS Population Analysis Workflows with Mastra AI.

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Connect UK ONS Population — Deaths, Well-being & Demographics MCP to Mastra AI

Create your Vinkius account to connect UK ONS Population — Deaths, Well-being & Demographics to Mastra AI 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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Building Robust Demographic Pipelines

The `get_population_projections` tool fetches UK population projections for older people, broken down by local authority and sex ratio. You can build a multi-step workflow that checks these estimates first. If the projection data is missing or old, your Mastra AI agent can automatically retry the call with different parameters, ensuring continuity.

MCP Server for Comprehensive Health Data

Need to analyze mortality? Use `get_weekly_deaths` to get weekly death registrations in England and Wales. The workflow engine handles complex filtering by age, sex, and region. This allows you to build resilient pipelines that process national statistics from datasets like `weekly-deaths-age-sex`, even if one data source temporarily fails.

Automating Local Well-being Checks

You can run a full assessment using `get_wellbeing_local` to gather well-being estimates across multiple UK local authorities. The workflow automatically collects life satisfaction and anxiety data. This is perfect for complex reporting where you need the agent to iterate through dozens of regions until all required metrics are collected.

Setup guide

Set up UK ONS Population — Deaths, Well-being & Demographics MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All UK ONS Population — Deaths, Well-being & Demographics tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "uk-ons-population-deaths-well-being-demographics-mcp-client",
  servers: {
    "uk-ons-population-deaths-well-being-demographics-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "UK ONS Population — Deaths, Well-being & Demographics Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to UK ONS Population — Deaths, Well-being & Demographics tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent UK ONS Population — Deaths, Well-being & Demographics transactions"
);
console.log(result.text);

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 Mastra AI

Yes. The `get_suicides` tool retrieves national suicide registrations for England and Wales by local authority. Since this is a high-stakes topic, the workflow can include an explicit human review step before final reporting.
Absolutely. You can build a single workflow that calls `get_wellbeing` for national estimates and then uses `get_wellbeing_local` for regional breakdowns, all managed by the Mastra AI engine.
Mastra AI uses automatic retries with exponential backoff. If one tool call fails—say `get_population_projections` times out—the workflow doesn't crash; it intelligently tries again.
Start by defining a clear goal. For instance, 'Compare regional suicide rates against local well-being.' Then chain `get_suicides` and `get_wellbeing_local` in sequence.
This server handles demographic statistics, including suicide registrations, weekly death records, and local well-being estimates.

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