How to Use the IBAMA Dados Abertos MCP in AutoGen

Debate environmental policy using AutoGen agents and IBAMA Dados Abertos data.

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Connect IBAMA Dados Abertos MCP to AutoGen

Create your Vinkius account to connect IBAMA Dados Abertos 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.

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Setup IBAMA Dados Abertos with AutoGen

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Multi-agent research with AutoGen

Set up a research agent to call `list_organizations` while a critic agent checks the validity of the data. AutoGen agents discuss the findings, ensuring you get accurate information from the IBAMA portal. This prevents biased analysis. One agent pulls the data, and the other verifies it against the schema returned by `show_organization`.

Negotiate data findings via AutoGen

Let your agents argue over the interpretation of environmental metrics. Using `datastore_search`, they can pull competing datasets and reach a consensus based on the actual numbers. You build systems that handle complexity. The agents negotiate until they agree on the most reliable data point.

Automate IBAMA Dados Abertos workflows

Configure your AutoGen team to execute a sequence of tool calls without human oversight. Agents use `search_resources` to find files and `show_resource` to read them, completing the entire research task autonomously. You get a final report based on the debate. It reduces the time spent on manual data gathering and verification.

Setup guide

Set up IBAMA Dados Abertos 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 IBAMA Dados Abertos 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="IBAMA Dados Abertos_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent IBAMA Dados Abertos 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="IBAMA Dados Abertos_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent IBAMA Dados Abertos 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 IBAMA Dados Abertos. 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 IBAMA Dados Abertos MCP in AutoGen

You register the MCP tools with your AssistantAgent. The agents then decide when to call these tools as part of their conversation flow.

Yes, they are programmed to debate. If one agent finds data that contradicts another, they will discuss the discrepancy until they converge on a conclusion.

The conversation log records every tool call and its output. You can review the chat history to see exactly what data the agents retrieved and how they used it.

Any number of agents in your group chat can share the tools. You control which agents have access to the IBAMA functions through the agent constructor.

Your agents operate in your local runtime. The data retrieved from IBAMA is processed within your private system, ensuring that no external party has access to your research.

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