How to Use the Datos.gob.es (Catálogo Nacional) MCP in OpenAI Agents SDK

Q: How do I connect Datos.gob.es (Catálogo Nacional) to the OpenAI Agents SDK?

Install openai-agents first. Then initialize MCPServerStreamableHttp with your Vinkius URL and pass it to the mcpservers array in your Agent constructor. Wrap it in an async context manager for proper connection handling.

Q: Can my OpenAI Agents SDK system filter Datos.gob.es (Catálogo Nacional) by date?

Yes. The listdatasetsbydate tool accepts specific modification date ranges. Your agent will automatically map natural language timeframes into the correct API parameters before execution.

Q: Does this MCP Server support caching for OpenAI agents?

You should set cacheToolsList=True when passing the server to your agent. This prevents the system from re-fetching the 22 tool definitions from Vinkius on every single turn.

Connect Spain's open data catalog to your OpenAI Agents SDK system for secure, traced public sector data retrieval in production.

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Connect Datos.gob.es (Catálogo Nacional) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Datos.gob.es (Catálogo Nacional) to OpenAI Agents SDK 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 Datos.gob.es (Catálogo Nacional) with OpenAI Agents SDK

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Wire this MCP Server into production agents

Your OpenAI agents need reliable access to Spanish public records. Passing the Datos.gob.es catalog through this MCP Server gives your system direct read access to thousands of datasets. Handoffs between specialized agents happen naturally when one agent handles geographic queries while another parses the actual CSV distributions. You set `cacheToolsList=True` during initialization to keep latency low. Once connected, your agent can call `list_datasets_by_theme` to find financial records and instantly trace that exact API call inside the OpenAI dashboard. Guardrails validate the parameters before the tool even executes.

Search and filter Spanish datasets

Finding specific records across the entire national catalog requires precise filtering. Your agent handles this by chaining search tools based on user intent. If a user asks about Madrid's commerce data, the system triggers `get_region` followed by `list_datasets_by_spatial`. We built these tools to mirror the actual government taxonomy. Calling `list_public_sectors` maps the primary sectors, allowing your OpenAI agent to navigate categories safely. You get exact URI identifiers back, which feed directly into `get_dataset` for the final payload.

Extract distribution formats automatically

Government data comes in messy formats scattered across different publishers. The OpenAI Agents SDK can use `list_distributions_by_format` to guarantee it only pulls CSV or JSON files. Your data pipeline won't choke on unexpected PDFs because the agent filters them out at the source. Tracking publisher activity is just as straightforward. By calling `list_datasets_by_publisher`, your agent tracks updates from specific ministries. Every response gets logged in your tracing dashboard, so you always know exactly which Spanish agency provided the data.

Setup guide

Set up Datos.gob.es (Catálogo Nacional) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Datos.gob.es (Catálogo Nacional) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Datos.gob.es (Catálogo Nacional) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Datos.gob.es (Catálogo Nacional) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Datos.gob.es (Catálogo Nacional) Agent",
            instructions="You have access to Datos.gob.es (Catálogo Nacional) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Datos.gob.es (Catálogo Nacional) MCP in OpenAI Agents SDK

Install `openai-agents` first. Then initialize `MCPServerStreamableHttp` with your Vinkius URL and pass it to the `mcp_servers` array in your Agent constructor. Wrap it in an async context manager for proper connection handling.

Yes. The `list_datasets_by_date` tool accepts specific modification date ranges. Your agent will automatically map natural language timeframes into the correct API parameters before execution.

You should set `cacheToolsList=True` when passing the server to your agent. This prevents the system from re-fetching the 22 tool definitions from Vinkius on every single turn.

Built-in guardrails catch the failure immediately. The error surfaces in your OpenAI tracing dashboard, and your agent can either retry the specific `search_datasets_by_title` call or pivot to a different search strategy.

This integration only reads public metadata, dataset URIs, and taxonomy IDs from Spain's open catalog. Vinkius runs the connection in an ephemeral V8 Isolate, meaning your OpenAI agent's queries about specific publishers or geographic regions are never stored or logged by the proxy infrastructure.

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