How to Use the Campinas Open Data MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK handle large datasets from the Campinas Open Data server?

Yes. The agent uses getresource to inspect metadata first, allowing you to filter big files before downloading them into your Python runtime.

Get Campinas Open Data straight into your OpenAI Agents SDK pipelines with zero-config tool discovery.

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Connect Campinas Open Data MCP to OpenAI Agents SDK

Create your Vinkius account to connect Campinas Open Data 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 Campinas Open Data with OpenAI Agents SDK

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Inspect Campinas datasets with OpenAI Agents SDK

The `get_package` and `get_resource` tools let your OpenAI Agents SDK agent pull raw metadata and resource schemas directly from the Campinas municipal database. You pass these tools to your Agent constructor, and the model inspects city data structures on the fly. This setup lets you build production-grade workflows that validate Brazilian municipal data before your agents write it to your database. By caching the tool definitions, your agents skip redundant network calls and respond much faster.

Run targeted searches via this MCP Server

The `search_packages` and `search_resources` tools query the Campinas portal to find specific datasets based on your agent's current task. Your OpenAI Agents SDK setup routes these queries dynamically, allowing the agent to locate finance or health files without hardcoded endpoints. You get clean JSON arrays that your agent parses instantly. Because the OpenAI dashboard tracks every tool call, you can audit exactly what the model searched for during execution.

Map out city organizations and groups

The `list_groups` and `list_organizations` tools expose the administrative structure of Campinas's public data directly to your OpenAI Agents SDK agent using this MCP setup. Your agent uses these endpoints to categorize incoming municipal records and route them to the correct department logic. Instead of hardcoding organizational IDs, your agent queries the live directory. This keeps your production system resilient even when the city updates its data groupings.

Setup guide

Set up Campinas Open Data 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 Campinas Open Data tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Campinas Open Data Portal. 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 Campinas Open Data MCP in OpenAI Agents SDK

Install the package, import the streamable HTTP server class, and pass the Vinkius endpoint URL. Your agent discovers the tools dynamically when you register the server in the constructor.

Yes. The agent uses `get_resource` to inspect metadata first, allowing you to filter big files before downloading them into your Python runtime.

Set the cache parameter to true when registering the server. This stops the SDK from fetching the schema on every single agent run, cutting down latency.

You filter tools during agent initialization. If your agent only needs to find files, expose just `search_packages` and omit other tools on this MCP Server.

This server only touches public, non-sensitive municipal records from Campinas. Vinkius runs the MCP connection in an isolated sandbox, meaning your OpenAI Agents SDK credentials and private queries never leak to the public portal.

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