How to Use the Comunidad de Madrid (Portal Regional) MCP in Mastra AI

Build reliable workflows using Comunidad de Madrid (Portal Regional) data inside Mastra AI.

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Connect Comunidad de Madrid (Portal Regional) MCP to Mastra AI

Create your Vinkius account to connect Comunidad de Madrid (Portal Regional) 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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Setup Comunidad de Madrid (Portal Regional) with Mastra AI

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Claude

Perplexity

Automated Workflows for Comunidad de Madrid (Portal Regional)

Mastra AI agents can now chain requests to the regional portal. Use `list_datasets` to trigger downstream logic automatically when new information appears. If a query fails, the framework handles the retry logic for you. You get a stable pipeline pulling from the Comunidad de Madrid (Portal Regional) sources.

Conditional Data Processing

Set up agents that inspect `get_resource` metadata and decide the next step based on the content. You define the logic, and the agent executes it. This server lets your agents branch their behavior. If the data indicates a specific regional category, the workflow moves to the next phase.

Human-in-the-loop Regional Queries

Require manual approval before your agent executes a `search_datastore` query. This keeps your agent's actions predictable and safe. You maintain control over how much regional data your agents consume. It is the best way to handle complex multi-step tasks in Mastra AI.

Setup guide

Set up Comunidad de Madrid (Portal Regional) 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Comunidad de Madrid (Portal Regional) tools become native Mastra tools.
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: "comunidad-de-madrid-portal-regional-mcp-client",
  servers: {
    "comunidad-de-madrid-portal-regional-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Comunidad de Madrid (Portal Regional) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Comunidad de Madrid (Portal Regional) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Comunidad de Madrid (Portal Regional) transactions"
);
console.log(result.text);

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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 Comunidad de Madrid (Portal Regional). 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 Comunidad de Madrid (Portal Regional) MCP in Mastra AI

You instantiate the client and map the available tools to your agents. Mastra AI detects the server capabilities automatically for your workflows.

The framework supports automatic retries with exponential backoff. It ensures your agent maintains a connection to the portal even if the network blips.

You can force approval for any tool call. This allows you to verify what the agent is pulling from the portal before it proceeds.

Deploy your code to your cloud provider after configuring the endpoint. The server handles the connection to the portal while your agent runs the logic.

Your queries stay private within your workflow state. We do not store or inspect the specific regional data points your agents access during their execution.

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