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How to Use the European Pension Estimator MCP in Mastra AI

Build resilient pension planning workflows for European expats with Mastra AI. Handle any API failure, automatically.

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Works with every AI agent you already use

…and any MCP-compatible client

European Pension Estimator MCP on Cursor AI Code Editor MCP Client European Pension Estimator MCP on Claude Desktop App MCP Integration European Pension Estimator MCP on OpenAI Agents SDK MCP Compatible European Pension Estimator MCP on Visual Studio Code MCP Extension Client European Pension Estimator MCP on GitHub Copilot AI Agent MCP Integration European Pension Estimator MCP on Google Gemini AI MCP Integration European Pension Estimator MCP on Lovable AI Development MCP Client European Pension Estimator MCP on Mistral AI Agents MCP Compatible European Pension Estimator MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Mastra AI

Connect European Pension Estimator MCP to Mastra AI

Create your Vinkius account to connect European Pension Estimator to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Automate Cross-Border Retirement Plans

A solid financial workflow starts with solid data. Use `get_scheme_details` as the first step in a Mastra AI agent to fetch the pension rules for a client's country of residence. If the tool fails because of a network issue or an update, Mastra's built-in retry logic handles it. Your workflow doesn't break; it just keeps going.

Branch Workflows on Pension Gaps

Mastra AI agents can make decisions. First, run `calculate_monthly_benefit` to get a baseline retirement income for a user. Then, use Mastra's conditional logic to check if the benefit is below a certain target. If it is, your workflow can automatically trigger a different tool or notify a human advisor to step in.

Build Fault-Tolerant Pension MCP Workflows

Don't let a temporary API glitch derail a client's financial plan. This MCP server integrates smoothly into your Mastra AI agent, providing the core estimation functions. If there's a problem running `assess_contribution_gap`, you don't need to write custom error-handling code. Mastra's engine will back off and retry, ensuring your complex, multi-step financial workflows are robust.

Setup guide

Set up European Pension Estimator 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 European Pension Estimator 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: "european-pension-estimator-mcp-client",
  servers: {
    "european-pension-estimator-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "European Pension Estimator Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to European Pension Estimator tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent European Pension Estimator 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 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 Mastra AI

You instantiate the `MCPClient` with the server URL and your project ID. Then, you can list the tools from this MCP and spread them into the `tools` array of your Mastra AI Agent.
Yes. After getting a result, you can define a conditional step in your workflow. For example: if the pension is less than €2000/month, the agent could then trigger another action, like sending an alert.
Mastra AI handles this out of the box. Its workflow engine includes automatic retries with exponential backoff, making your agent resilient to temporary network or service issues.
Yes. You can use Mastra AI's `requireToolApproval` feature. This pauses the workflow and waits for a person to confirm before the agent proceeds with the next step.
No. The MCP only uses the provided contribution history and personal details for the immediate calculation. All data is processed in-memory and is never written to disk or logged.

Start using the European Pension Estimator MCP today

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