How to Use the Ayuntamiento de Zaragoza MCP in OpenAI Agents SDK

Q: How do I connect the Ayuntamiento de Zaragoza MCP Server to the OpenAI Agents SDK?

Install openai-agents and initialize MCPServerStreamableHttp pointing to the Vinkius URL. Pass this server instance in the mcpservers list to your Agent constructor. The SDK automatically discovers all 17 municipal tools.

Q: Can OpenAI Agents SDK handle user authentication for Ayuntamiento de Zaragoza tools?

Yes, tools like bookappointment require credentials. You pass these authentication headers through your agent's execution context. This ensures the agent only books appointments when authorized by the active user.

Build production-ready OpenAI Agents using this MCP Server to book appointments and query Zaragoza municipal data.

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Connect Ayuntamiento de Zaragoza MCP to OpenAI Agents SDK

Create your Vinkius account to connect Ayuntamiento de Zaragoza 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 Ayuntamiento de Zaragoza with OpenAI Agents SDK

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Automated citizen ticketing via OpenAI Agents

The `submit_open311_request` tool lets your agent submit citizen complaints and suggestions directly to the Zaragoza city registry. Your OpenAI agent handles the conversation, collects the issue details, and triggers the submission with strict schema enforcement. If a user complains about a broken street light, the agent checks `list_open311_services` to find the right category code. It then files the issue and monitors progress using `get_open311_request` while keeping a clean trace log in your OpenAI dashboard.

Secure appointment booking via Zaragoza MCP Server

The `book_appointment` tool registers real-world appointments for municipal services in Zaragoza. Because booking requires user credentials, your OpenAI agent handles this in a protected step, verifying user inputs before hitting the endpoint. The agent first runs `list_agendas` to locate the correct department and checks open slots with `get_agenda_availability`. Once the user selects a time, the agent completes the booking and confirms it using `get_my_appointments` to prevent double-booking errors.

Semantic queries on municipal datasets

The `execute_sparql_query` tool executes raw SPARQL queries against the Zaragoza Semantic Web endpoint via this MCP connection. This lets your agent perform deep data lookups across the city's open data catalog without manual scraping. Your agent can also use `query_dataset` to find local restaurants, monuments, or public facilities. The agent translates natural language questions into structured queries, parses the RDF payload, and returns clean answers to the user.

Setup guide

Set up Ayuntamiento de Zaragoza 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 Ayuntamiento de Zaragoza tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Ayuntamiento de Zaragoza 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="Ayuntamiento de Zaragoza Agent",
            instructions="You have access to Ayuntamiento de Zaragoza 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 Ayuntamiento de Zaragoza. 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 Ayuntamiento de Zaragoza MCP in OpenAI Agents SDK

Install `openai-agents` and initialize `MCPServerStreamableHttp` pointing to the Vinkius URL. Pass this server instance in the `mcp_servers` list to your Agent constructor. The SDK automatically discovers all 17 municipal tools.

Yes, tools like `book_appointment` require credentials. You pass these authentication headers through your agent's execution context. This ensures the agent only books appointments when authorized by the active user.

The SDK uses strict schema validation to check tool arguments before calling the Zaragoza endpoints. If the model generates an invalid parameter for `execute_sparql_query`, the SDK catches it before transmitting the request.

You can control tool access at the agent definition level. If you only want your agent to handle public inquiries, omit the credential-based tools and only expose `query_dataset` or `list_public_maps`.

All personal citizen data, such as appointment details from `get_my_appointments`, stays in the Vinkius V8 sandbox. It is never used to train OpenAI models. Data flows directly between your agent and the Zaragoza municipal endpoints over secure HTTPS.

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