How to Use the Brasil.io MCP in OpenAI Agents SDK
Query public Brazilian datasets directly within your OpenAI Agents SDK production pipelines.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Brasil.io MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
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
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.
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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Built-in savings
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place for every integration
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Common questions about Brasil.io MCP in OpenAI Agents SDK
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