How to Use the Diputación de Alicante MCP in OpenAI Agents SDK

Q: How do I initialize the Diputación de Alicante tools inside my OpenAI Agents SDK?

Install the package using pip install openai-agents and import MCPServerStreamableHttp. Configure the MCP endpoint inside your agent constructor to begin querying the provincial database.

Q: What happens if a specific Alicante dataset is not covered by the dedicated tools?

Fall back to the getdataset tool to query any unlisted open data table. Your agent can search the entire provincial catalog using standard text queries.

Give your OpenAI Agents SDK direct access to Alicante public spending datasets using this MCP Server.

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Connect Diputación de Alicante MCP to OpenAI Agents SDK

Create your Vinkius account to connect Diputación de Alicante 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 Diputación de Alicante with OpenAI Agents SDK

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Audit municipal finance with the OpenAI Agents SDK

The `get_municipal_budgets` tool pulls raw financial allocations from Alicante's towns directly into your OpenAI Agents SDK workflow. Your agent uses these numbers to trace local spending trends without you writing custom SQL parsers or API wrappers. Combine this with `get_live_debt` to build an autonomous Alicante audit agent using the OpenAI Agents SDK. Your agent reads the JSON payload, compares local debt figures across fiscal years, and outputs structured reports.

Track demographic shifts using this MCP Server

The `get_population_register` tool retrieves historical census trends across Alicante's municipalities to power your agentic population models. Your OpenAI Agents SDK setup can instantly correlate these trends with foreign residency patterns. Let your OpenAI Agents SDK query `get_foreign_population_stats` to map international migration shifts across Alicante's coastal towns. The SDK's built-in guardrails validate the returned provincial JSON schemas before your agent executes downstream analysis.

Analyze local political dynamics on the fly

The `get_elections_results` tool exposes historical voting data directly to your OpenAI Agents SDK decision loops. This lets your agents inspect Alicante voting patterns alongside current administrative rosters. Your OpenAI Agents SDK agent can call `get_mayors` to verify who holds office in specific Alicante towns, then cross-reference those names with `get_provincial_corporation_members`. This setup ensures your provincial political reporting pipelines stay updated with verified public data.

Setup guide

Set up Diputación de Alicante 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 Diputación de Alicante tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the package using `pip install openai-agents` and import `MCPServerStreamableHttp`. Configure the MCP endpoint inside your agent constructor to begin querying the provincial database.

Yes, because the SDK handles async tool execution natively. When your agent needs to check both `get_live_debt` and `get_public_debt` for Alicante towns, it triggers both requests concurrently.

Yes, it exposes all 19 tools automatically when you establish the MCP connection. Set `cacheToolsList=True` in your configuration to keep your agent's startup latency under 100 milliseconds.

Fall back to the `get_dataset` tool to query any unlisted open data table. Your agent can search the entire provincial catalog using standard text queries.

All calls to municipal budget and population endpoints run inside isolated V8 sandboxes. Your Vinkius token acts as a single-use credential, securing your MCP server interactions.

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