How to Use the European Pension Estimator MCP in Vercel AI SDK

Q: How do I use the European Pension Estimator with the Vercel AI SDK?

First, install the packages: npm install ai @ai-sdk/mcp. Then, create a client instance pointing to the MCP server URL and pass the tools you get from mcpClient.tools() into your streamText call.

Stream pension estimates for the UK, Germany, France, and Spain right into your Vercel AI SDK app. No loading spinners.

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Connect European Pension Estimator MCP to Vercel AI SDK

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Setup European Pension Estimator with Vercel AI SDK

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Live Pension Scheme Data

Build UIs that feel instant. When your user picks a country, you can stream the pension system's rules directly into your component using `get_scheme_details`. Data appears on the screen as it arrives. This makes your app feel alive and responsive, which is exactly what the Vercel AI SDK is built for. No more staring at a blank page while the backend thinks.

Real-time Benefit Calculation

Show, don't tell. Instead of a loading spinner, your users can watch their estimated retirement income appear in real time. This MCP is designed for low-latency streaming. When your AI client calls `calculate_monthly_benefit`, the results stream back. Your React or Svelte components can render the numbers as they're calculated, giving your users a completely different kind of interactive experience.

Interactive Gap Analysis

Let users play with the numbers. They can ask your AI client to model the impact of working a few more years, and the UI updates instantly. Your agent uses `assess_contribution_gap` to get the new figures, and the Vercel AI SDK streams the updated estimate right back to the browser. It’s the best way to build what-if financial planning tools.

Setup guide

Set up European Pension Estimator MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 European Pension Estimator tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 European Pension Estimator transactions",
});

console.log(text);
await mcpClient.close();

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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 European Pension Estimator. 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 European Pension Estimator MCP in Vercel AI SDK

First, install the packages: `npm install ai @ai-sdk/mcp`. Then, create a client instance pointing to the MCP server URL and pass the tools you get from `mcpClient.tools()` into your `streamText` call.

Yes, that's the main benefit. This MCP is built to stream, and the Vercel AI SDK is built to render those streams. Your UI will update in real-time as the pension calculation completes.

The estimator provides detailed pension calculations for the public systems in the United Kingdom, Germany, France, and Spain. You can build a single UI that handles all four.

Yes. The tools are optimized for quick responses, making this MCP a perfect match for the kind of streaming, interactive frontends you build with the Vercel AI SDK.

It only processes the details needed for the calculation, like contribution history and country. This data is used in-memory to generate the estimate and is immediately discarded. Nothing is ever stored or logged.

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