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How to Use the Brasil.io MCP in OpenAI Agents SDK

Query public Brazilian datasets directly within your OpenAI Agents SDK production pipelines.

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Brasil.io MCP on Cursor AI Code Editor MCP Client Brasil.io MCP on Claude Desktop App MCP Integration Brasil.io MCP on OpenAI Agents SDK MCP Compatible Brasil.io MCP on Visual Studio Code MCP Extension Client Brasil.io MCP on GitHub Copilot AI Agent MCP Integration Brasil.io MCP on Google Gemini AI MCP Integration Brasil.io MCP on Lovable AI Development MCP Client Brasil.io MCP on Mistral AI Agents MCP Compatible Brasil.io MCP on Amazon AWS Bedrock MCP Support
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OpenAI Agents SDK

Connect Brasil.io MCP to OpenAI Agents SDK

Create your Vinkius account to connect Brasil.io 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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Inspect dataset structures in OpenAI Agents SDK

Call `get_table_metadata` to see column types and schema definitions before you run your analysis. This ensures your agent understands the data shape before it attempts any complex operations. Your production agent avoids guessing field names by pulling exact metadata from the server. It keeps your code clean and prevents runtime failures caused by unexpected schema changes.

Browse available data with OpenAI Agents SDK

Use `list_datasets` to discover what public information is available on the platform. The server handles pagination, so your agent can crawl through the entire catalog without hitting memory limits. This MCP Server provides a clear path to finding specific datasets like COVID-19 stats or company records. You get a clean list of tables ready for immediate querying.

Run targeted filters via OpenAI Agents SDK

Pass JSON-formatted filters to `query_table_data` to pull exactly the records you need. You avoid downloading massive files by letting the server handle the heavy lifting of sorting through the rows. Your agent builds precise queries based on your requirements, such as filtering by state or category. It returns structured data that your Python code can parse instantly.

Setup guide

Set up Brasil.io 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. 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. 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 Brasil.io tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

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

Pass a JSON string representing your filters to the `query_table_data` tool. Your agent constructs this object dynamically based on the user prompt, ensuring only relevant records return to your pipeline.
Yes, it integrates as a standard toolset. Since the server provides predictable outputs, your guardrails can validate the structure of the retrieved data before it propagates to downstream agents.
No, this is a read-only source. You can fetch public Brazilian data, but the tools provided do not allow writing or modifying the external records.
The server connects via a secure HTTP stream. Your agent handles the transport layer, and all requests are proxied through your configured endpoint.
This server only touches public Brazilian records. It does not store user credentials or private information, keeping your agent's memory free of sensitive data.

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