How to Use the Datos Abiertos Castilla-La Mancha MCP in OpenAI Agents SDK

Q: How do I connect Datos Abiertos Castilla-La Mancha to the OpenAI Agents SDK?

Install openai-agents and pass the Vinkius HTTP URL to your agent's MCP server configuration. The SDK automatically registers all five open-data tools during initialization. Your agent can then call them dynamically based on user prompts.

Q: Can my OpenAI Agents SDK agent search inside specific tables in Datos Abiertos Castilla-La Mancha?

Yes, the searchdatastore tool lets your agent run targeted queries inside active databases. It retrieves only the matching rows instead of downloading whole files. This keeps your agent's context window light and fast.

Q: How does the OpenAI Agents SDK handle schema changes in Datos Abiertos Castilla-La Mancha?

The getdataset tool fetches live metadata directly from the Spanish government's CKAN portal. If a schema changes, your agent detects the new structure immediately on the next call. You don't need to rebuild or redeploy your code to adapt to portal updates.

Feed raw Castilla-La Mancha open data directly to your OpenAI Agents SDK pipelines with zero manual parsing.

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Connect Datos Abiertos Castilla-La Mancha MCP to OpenAI Agents SDK

Create your Vinkius account to connect Datos Abiertos Castilla-La Mancha 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 Abiertos Castilla-La Mancha with OpenAI Agents SDK

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Find Spanish public datasets instantly

The `list_datasets` tool pulls the entire index of Castilla-La Mancha public data directly into your agent's context. Your agent queries the portal using `list_tags` to filter by specific regional topics like agriculture, transit, or demographics. This means your OpenAI agent stops guessing which files exist. It scans the live catalog, identifies the correct dataset, and prepares to fetch the underlying data without you writing a single crawler.

Inspect metadata using this MCP Server

This MCP Server exposes the `get_dataset` tool to let your OpenAI agent inspect specific data schemas and update frequencies. Once the agent targets a dataset, it calls `get_resource` to pinpoint the exact CSV or JSON files containing the raw numbers. You get structured metadata injected directly into your run history. The agent uses this information to build safe execution paths, avoiding massive, useless downloads by verifying file sizes first.

Query tabular databases on the fly

The `search_datastore` tool executes targeted SQL-like queries against Castilla-La Mancha's active data tables. Instead of pulling down a 50MB CSV file, your agent pulls only the specific rows matching your parameters. Production agents run faster when they don't choke on giant raw text files. By filtering records at the source, you keep your context window clean and your API token costs low.

Setup guide

Set up Datos Abiertos Castilla-La Mancha 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 Abiertos Castilla-La Mancha tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Datos Abiertos Castilla-La Mancha 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 Abiertos Castilla-La Mancha 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 Abiertos Castilla-La Mancha Agent",
            instructions="You have access to Datos Abiertos Castilla-La Mancha 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 Abiertos Castilla-La Mancha MCP in OpenAI Agents SDK

Install `openai-agents` and pass the Vinkius HTTP URL to your agent's MCP server configuration. The SDK automatically registers all five open-data tools during initialization. Your agent can then call them dynamically based on user prompts.

Yes, the `search_datastore` tool lets your agent run targeted queries inside active databases. It retrieves only the matching rows instead of downloading whole files. This keeps your agent's context window light and fast.

The `get_dataset` tool fetches live metadata directly from the Spanish government's CKAN portal. If a schema changes, your agent detects the new structure immediately on the next call. You don't need to rebuild or redeploy your code to adapt to portal updates.

No, this public portal does not require API keys for reading datasets. Vinkius manages the connection end-to-end, so your agent gets instant access. You only need your single Vinkius endpoint token to connect.

This server only processes public regional datasets and search parameters you send to Castilla-La Mancha's servers. No private database credentials or proprietary code are ever exposed. All traffic runs through secure, isolated Vinkius MCP containers that wipe after execution.

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