How to Use the ANA (Movimentação de Dados) MCP in AutoGen

Q: How do I register ANA (Movimentação de Dados) tools with AutoGen agents?

You use the mcpservertools function to load the tools and pass them to your AutoGen AssistantAgent. The MCP adapter automatically maps the schemas for tools like getserievazao and updateseriecota.

Q: Can multiple AutoGen agents use ANA (Movimentação de Dados) tools simultaneously?

Yes, different agents can call tools like getseriechuva and getserieqa during a group chat. They can share the results in their conversation history to make collective decisions on water management.

Q: How do I handle write permissions for ANA (Movimentação de Dados) in an AutoGen group chat?

You can assign write tools like updateserievazao exclusively to a highly constrained supervisor agent. Other conversational agents can only query data using getserievazao, keeping your database secure.

Run multi-agent debates in AutoGen to validate and commit critical Brazilian water data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ANA (Movimentação de Dados) MCP to AutoGen

Create your Vinkius account to connect ANA (Movimentação de Dados) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ANA (Movimentação de Dados) with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate Hydrological Data via AutoGen MCP Server Tools

The `create_serie_chuva` and `update_serie_chuva` tools can be assigned to separate AutoGen validation agents. One agent drafts the rainfall update, while a supervisor agent checks the values against historical averages before committing. This collaborative workflow prevents erroneous data from entering the ANA system. You get a reliable, multi-step verification process run entirely by specialized agents.

Debate and Verify Water Quality Metrics

The `get_serie_qa` and `update_serie_qa` tools allow your agents to run consensus checks on water quality inputs. If a sensor reports anomalous pH levels, your agents debate whether it is a sensor error or a real spike before updating the database. By letting agents cross-reference multiple data points, you reduce false alarms. The final database update only happens once the agents reach a consensus.

Coordinate Discharge and Profile Updates

The `create_serie_resumo_descarga` and `update_serie_perfil_transversal` tools can be coordinated across different specialized agents. An agent managing physical river profiles works alongside an agent handling discharge summaries to ensure both datasets match. AutoGen handles the negotiation between these agents automatically. This keeps your physical river models aligned with actual flow capacity updates.

Setup guide

Set up ANA (Movimentação de Dados) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes ANA (Movimentação de Dados) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="ANA (Movimentação de Dados)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ANA (Movimentação de Dados) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="ANA (Movimentação de Dados)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ANA (Movimentação de Dados) data")
    print(result.messages[-1].content)

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 ANA (Agência Nacional de Águas). 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ANA (Movimentação de Dados) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ANA (Movimentação de Dados) MCP in AutoGen

You use the `mcp_server_tools` function to load the tools and pass them to your AutoGen AssistantAgent. The MCP adapter automatically maps the schemas for tools like `get_serie_vazao` and `update_serie_cota`.

Yes, different agents can call tools like `get_serie_chuva` and `get_serie_qa` during a group chat. They can share the results in their conversation history to make collective decisions on water management.

You can assign write tools like `update_serie_vazao` exclusively to a highly constrained supervisor agent. Other conversational agents can only query data using `get_serie_vazao`, keeping your database secure.

AutoGen connects using Streamable HTTP through the Vinkius gateway. This setup provides low-latency tool execution for your multi-agent conversations.

Your hydrometeorological records are protected by an ephemeral V8 sandbox that isolates every execution. No data is stored on Vinkius servers, keeping your river profiles and water quality metrics completely private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript