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Comunidad de Madrid (Portal Regional) MCP Server for Mastra AIGive Mastra AI instant access to 5 tools to Get Dataset, Get Resource, List Datasets, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Comunidad de Madrid (Portal Regional) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Comunidad de Madrid (Portal Regional) MCP Server for Mastra AI is a standout in the Knowledge Management category — giving your AI agent 5 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "comunidad-de-madrid-portal-regional": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Comunidad de Madrid (Portal Regional) Agent",
    instructions:
      "You help users interact with Comunidad de Madrid (Portal Regional) " +
      "using 5 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Comunidad de Madrid (Portal Regional)?"
  );
  console.log(result.text);
}

main();
Comunidad de Madrid (Portal Regional)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Comunidad de Madrid (Portal Regional) MCP Server

Connect your AI agent to the Comunidad de Madrid Open Data Portal to access a wealth of public information directly through natural language. This MCP server provides a bridge to the regional CKAN-based repository, covering everything from transport and health to environment and economy.

Mastra's agent abstraction provides a clean separation between LLM logic and Comunidad de Madrid (Portal Regional) tool infrastructure. Connect 5 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Dataset Discovery — Search for specific datasets using keywords like 'transporte', 'salud', or 'medio ambiente' to find relevant public records.
  • Metadata Inspection — Retrieve full metadata for datasets, including tags, organizations, and update frequencies.
  • Resource Management — List and inspect individual files (resources) within a dataset, such as CSVs, JSONs, or PDFs.
  • Direct Data Querying — Use the DataStore integration to query the actual content of datasets directly, allowing for data analysis without manual downloads.
  • Portal Exploration — List all available dataset identifiers to understand the scope of available regional data.

The Comunidad de Madrid (Portal Regional) MCP Server exposes 5 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 5 Comunidad de Madrid (Portal Regional) tools available for Mastra AI

When Mastra AI connects to Comunidad de Madrid (Portal Regional) through Vinkius, your AI agent gets direct access to every tool listed below — spanning madrid, open-data, ckan, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get dataset on Comunidad de Madrid (Portal Regional)

Get full metadata for a specific dataset

get

Get resource on Comunidad de Madrid (Portal Regional)

Get metadata for a specific resource

list

List datasets on Comunidad de Madrid (Portal Regional)

List all dataset identifiers in the portal

search

Search datasets on Comunidad de Madrid (Portal Regional)

g., transporte, salud). Search for datasets matching specific criteria

search

Search datastore on Comunidad de Madrid (Portal Regional)

Query data directly from a resource in the DataStore

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

Follow these steps to wire Comunidad de Madrid (Portal Regional) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 5 tools from Comunidad de Madrid (Portal Regional) via MCP

Why Use Mastra AI with the Comunidad de Madrid (Portal Regional) MCP Server

Mastra AI provides unique advantages when paired with Comunidad de Madrid (Portal Regional) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Comunidad de Madrid (Portal Regional) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Comunidad de Madrid (Portal Regional) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Comunidad de Madrid (Portal Regional) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Comunidad de Madrid (Portal Regional) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Comunidad de Madrid (Portal Regional), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Comunidad de Madrid (Portal Regional) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Comunidad de Madrid (Portal Regional) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Comunidad de Madrid (Portal Regional) tools alongside other MCP servers

Example Prompts for Comunidad de Madrid (Portal Regional) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Comunidad de Madrid (Portal Regional) immediately.

01

"Search for datasets related to air quality in Madrid."

02

"List all dataset identifiers available in the portal."

03

"Get the metadata for the dataset 'calidad_aire_datos_dia'."

Troubleshooting Comunidad de Madrid (Portal Regional) MCP Server with Mastra AI

Common issues when connecting Comunidad de Madrid (Portal Regional) to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Comunidad de Madrid (Portal Regional) + Mastra AI FAQ

Common questions about integrating Comunidad de Madrid (Portal Regional) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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