How to Use the UK ONS Population — Deaths, Well-being & Demographics MCP in Vercel AI SDK
Stream UK ONS Population Data in Real Time with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect UK ONS Population — Deaths, Well-being & Demographics MCP to Vercel AI SDK
Create your Vinkius account to connect UK ONS Population — Deaths, Well-being & Demographics to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Real-Time Demographic Lookups
The `get_population_projections` tool pulls the latest estimates for older people and sex ratios, broken down by local authority. You'll see these projections streaming directly into your React component as soon as they load. This real-time data display is critical when building user-facing products; it makes the AI look fast and responsive. It handles population projection datasets like `projections-older-people-sex-ratios`.
Analyzing Local Well-being via MCP Server
Need to check local happiness scores? Use `get_wellbeing_local` to grab well-being estimates by specific UK local authorities. The data covers life satisfaction, worthwhileness, and anxiety levels. Because this streams into the UI, users see these regional comparisons appear instantly—perfect for dashboard widgets that need live updates.
Tracking Weekly Mortality Rates
`get_weekly_deaths` fetches weekly death registrations across England and Wales. You can filter by age, sex, or specific region to narrow the focus. This tool delivers national statistics on mortality that update every week, giving your front end critical, current health data without any loading spinner delay.
Set up UK ONS Population — Deaths, Well-being & Demographics MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all UK ONS Population — Deaths, Well-being & Demographics tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent UK ONS Population — Deaths, Well-being & Demographics transactions",
});
console.log(text);
await mcpClient.close(); 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 Vercel AI SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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