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Comunidad de Madrid (Portal Regional) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 5 tools to Get Dataset, Get Resource, List Datasets, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Comunidad de Madrid (Portal Regional) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Comunidad de Madrid (Portal Regional) MCP Server for OpenAI Agents SDK 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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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Comunidad de Madrid (Portal Regional) Assistant",
            instructions=(
                "You help users interact with Comunidad de Madrid (Portal Regional). "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Comunidad de Madrid (Portal Regional)"
        )
        print(result.final_output)

asyncio.run(main())
Comunidad de Madrid (Portal Regional)
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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.

The OpenAI Agents SDK auto-discovers all 5 tools from Comunidad de Madrid (Portal Regional) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Comunidad de Madrid (Portal Regional), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 5 tools from Comunidad de Madrid (Portal Regional)

Why Use OpenAI Agents SDK with the Comunidad de Madrid (Portal Regional) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Comunidad de Madrid (Portal Regional) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Comunidad de Madrid (Portal Regional) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Comunidad de Madrid (Portal Regional) MCP Server delivers measurable value.

01

Automated workflows: build agents that query Comunidad de Madrid (Portal Regional), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Comunidad de Madrid (Portal Regional), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Comunidad de Madrid (Portal Regional) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Comunidad de Madrid (Portal Regional) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Comunidad de Madrid (Portal Regional) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Comunidad de Madrid (Portal Regional) + OpenAI Agents SDK FAQ

Common questions about integrating Comunidad de Madrid (Portal Regional) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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