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How to Use the IBESTAT (Estadística Illes Balears) MCP in Mastra AI

Build complex statistical workflows with Mastra AI and official Balearic government data.

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Connect IBESTAT (Estadística Illes Balears) MCP to Mastra AI

Create your Vinkius account to connect IBESTAT (Estadística Illes Balears) 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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Automated Statistical Workflows

Mastra AI agents can chain `list_operations` and `get_data` to automate reporting tasks. If a query fails, the agent retries the call automatically using built-in backoff logic. This creates a resilient pipeline for your regional analysis. You define the workflow, and the agent handles the multi-step retrieval process without manual intervention.

Conditional Data Processing

You can write logic that triggers based on the output of `get_metadata`. For instance, if a dataset is outdated, the agent can branch to a different resource. This keeps your data intake clean and accurate. You aren't just fetching numbers; you are verifying their context before they hit your database.

Human-in-the-loop Validation

Use Mastra AI's approval feature before the agent runs `get_data` on sensitive queries. This keeps you in control of what data gets pulled from the regional registry. It adds a layer of safety to your autonomous operations. You approve the tool execution, and the agent proceeds with the analysis of the Balearic statistics.

Setup guide

Set up IBESTAT (Estadística Illes Balears) 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 IBESTAT (Estadística Illes Balears) 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: "ibestat-estadistica-illes-balears-mcp-client",
  servers: {
    "ibestat-estadistica-illes-balears-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent IBESTAT (Estadística Illes Balears) 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 IBESTAT. 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 IBESTAT (Estadística Illes Balears) MCP in Mastra AI

You install the MCP client into your Mastra project and point it at the server URL. Once connected, your agents can call the four available tools to fetch government data.
Yes, you can configure your agent workflows to retry on specific error codes. This is perfect for handling temporary network blips when reaching out to the statistical API.
You can use the agent's internal logic to parse the results from `get_data`. Simply define your criteria, and the agent will discard irrelevant rows before passing the clean set to your next workflow step.
No, the MCP server runs as a separate process or container. Your Mastra AI agent connects to it via HTTP or SSE, keeping your infrastructure modular.
The server maintains ephemeral connections for your requests. It does not store your queries, ensuring that your statistical research remains strictly between your agent and the government API.

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