How to Use the Gobierno Abierto Valencia MCP in OpenAI Agents SDK

Q: How do I handle large datasets from Gobierno Abierto Valencia inside OpenAI Agents SDK?

Use the searchdatastore tool to filter rows on the server side instead of pulling the whole dataset. This keeps your agent's context window small and avoids token waste.

Q: How do I find the schema for a specific municipal file?

Run the showresource tool with the target resource ID. This returns the exact column names, data types, and update frequency so your agent knows how to parse the table.

Get raw public records from Valencia's open data portal using this MCP Server directly in your OpenAI Agents SDK production workflows.

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Connect Gobierno Abierto Valencia MCP to OpenAI Agents SDK

Create your Vinkius account to connect Gobierno Abierto Valencia 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 Gobierno Abierto Valencia with OpenAI Agents SDK

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Query municipal tables with this MCP Server

The `search_datastore` tool lets your agent query specific municipal tables using SQL-style parameters directly from your Python code. This means you can pull live public budget records, traffic data, or environmental metrics without writing custom API scrapers. Your OpenAI Agents SDK pipeline handles the heavy lifting of agent handoffs. When an agent needs specific numbers, it fires this tool, gets the raw data, and passes the parsed facts to your downstream validation steps.

Discover dataset structures on the fly

The `show_package` tool retrieves metadata for any dataset registered on the Valencia portal. Your agent reads this structure to understand what fields are available before running complex queries. Here's the thing: instead of hardcoding API endpoints, you let the agent inspect the schema. It checks the fields, identifies the correct resource IDs, and prepares the exact query it needs without human intervention.

Map out public data categories

The `list_groups` tool outputs the high-level categories available on the Valencia open data platform. This gives your agent a starting map to navigate thousands of public records. Once the agent identifies the right group, it uses `list_packages` to narrow down the specific files. This step-by-step discovery keeps your context window clean and prevents the model from guessing dataset names.

Setup guide

Set up Gobierno Abierto Valencia 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 Gobierno Abierto Valencia tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Gobierno Abierto Valencia tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Gobierno Abierto Valencia 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="Gobierno Abierto Valencia Agent",
            instructions="You have access to Gobierno Abierto Valencia tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 Gobierno Abierto Valencia. 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 Gobierno Abierto Valencia MCP in OpenAI Agents SDK

Use the `search_datastore` tool to filter rows on the server side instead of pulling the whole dataset. This keeps your agent's context window small and avoids token waste.

Yes. You can filter tools during registration or handle it via agent-level system prompts. This prevents specific agents from running heavy datastore searches if they only need to list categories.

Yes. The Python SDK handles async contexts natively. You register the server using the HTTP streamable transport, and your agents yield execution while waiting for the portal's response.

Run the `show_resource` tool with the target resource ID. This returns the exact column names, data types, and update frequency so your agent knows how to parse the table.

This MCP server only accesses public records and open datasets from the city portal, so no personal data is processed. Vinkius runs the connector in a secure, ephemeral V8 Isolate Sandbox that never retains your queries or caches municipal responses.

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