How to Use the ANA (Movimentação de Dados) MCP in OpenAI Agents SDK

Q: How do agent handoffs work when managing ANA (Movimentação de Dados) with OpenAI Agents SDK?

You can build one agent to fetch data using getseriecota and hand off the analysis to a specialized writing agent. This separation of concerns keeps your production hydrology system secure.

Build production-grade water data pipelines with the ANA (Movimentação de Dados) MCP Server and OpenAI Agents SDK.

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Connect ANA (Movimentação de Dados) MCP to OpenAI Agents SDK

Create your Vinkius account to connect ANA (Movimentação de Dados) 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 ANA (Movimentação de Dados) with OpenAI Agents SDK

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Safe hydrometeorological writes with OpenAI Agents SDK

`create_serie_chuva` lets your OpenAI agents safely write rainfall data into the ANA repository. Because you are deploying to production, the SDK's built-in guardrails validate these inputs before committing them, preventing dirty records from hitting the database. You can also configure specialized agent handoffs, passing the task from a water-quality assessor to a flow analyst. This ensures that operations like `create_serie_vazao` and `create_serie_qa` are only executed when strict validation rules are met, keeping your Brazilian water ledger pristine.

Real-time water quality and flow monitoring

`get_serie_qa` fetches historical water quality metrics directly from the Brazilian National Water Agency database. When your agent detects a drop in quality, it can automatically trigger `get_serie_vazao` to correlate the pollution levels with current flow rates. Since this is an MCP Server, your agents auto-discover these endpoints with zero manual configuration. The OpenAI dashboard traces every single query, giving you an auditable trail of how your models pull and analyze hydrometeorological data.

Manage stage and profile updates securely

`update_serie_perfil_transversal` enables your production agent to modify river cross-section profiles when physical channels shift. If a storm alters the riverbed, the agent uses `update_serie_cota` to adjust stage levels to match the new reality. Using this MCP Server ensures that these critical updates are executed under strict safety constraints. Your team can audit the telemetry on the OpenAI dashboard, ensuring every modification to the Brazilian water registry is authorized and logged.

Setup guide

Set up ANA (Movimentação de Dados) 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 ANA (Movimentação de Dados) tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about ANA (Movimentação de Dados) MCP in OpenAI Agents SDK

You connect the MCP Server by passing it directly to the Agent constructor using MCPServerStreamableHttp. The SDK auto-discovers all 18 tools, allowing your agents to query or modify hydrometeorological data immediately.

Yes, you can enforce validation guardrails before the agent executes tools like update_serie_vazao. This prevents unauthorized or malformed updates to the Brazilian water agency's database.

It gives you full tracing on the OpenAI dashboard for every query. You can watch how your agents use tools like get_serie_chuva to make decisions, ensuring auditability.

You can build one agent to fetch data using get_serie_cota and hand off the analysis to a specialized writing agent. This separation of concerns keeps your production hydrology system secure.

Vinkius hosts the server in a zero-trust, ephemeral V8 Isolate sandbox. Your credentials and the raw water agency data never touch external logs, ensuring complete compliance with Brazilian data regulations.

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