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How to Use the IBAMA Dados Abertos MCP in Google ADK

Integrate IBAMA environmental data into your Google ADK enterprise workflows for automated compliance reporting.

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Google ADK

Connect IBAMA Dados Abertos MCP to Google ADK

Create your Vinkius account to connect IBAMA Dados Abertos to Google ADK 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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Map the IBAMA Dados Abertos data hierarchy

Use `list_groups` and `list_organizations` to understand the structure of the environmental data portal. Your Google ADK agent gets a high-level view of who owns which dataset, making it easier to route queries to the right department. This discovery phase is critical for enterprise agents. You need to know the data origin before you start pulling massive volumes into your BigQuery staging areas.

Advanced data retrieval for Google ADK agents

The `search_resources` tool allows your agent to find specific files based on search fields. It returns the exact metadata needed to locate relevant CSV or tabular reports across the entire IBAMA portal. Your agent can then decide which resources to ingest based on these search results. It keeps your data pipeline focused on high-quality inputs by ignoring irrelevant datasets.

Validate dataset health with `show_dataset`

Before you trigger an expensive data processing job, use `show_dataset` to inspect the full metadata. This tool confirms record counts, update frequencies, and schema definitions for any chosen registry. Your Google ADK agent performs this check to ensure data freshness. If the metadata indicates an outdated record, your agent can skip the processing step and alert your team instead.

Setup guide

Set up IBAMA Dados Abertos MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with IBAMA Dados Abertos tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="IBAMA Dados Abertos_agent",
    model="gemini-2.0-flash",
    instruction="You have access to IBAMA Dados Abertos tools via MCP.",
    tools=mcp_tools,
)

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 Google ADK

You use the `McpToolset` class with your server URL. Pass this toolset into your `LlmAgent` configuration to expose the IBAMA tools to your Gemini-powered agent.
Yes, you use the `search_datasets` tool to execute targeted searches. It returns a list of matching datasets that you can then inspect further.
You call the `list_groups` tool to retrieve all thematic categories. This helps your agent categorize data automatically based on the portal's internal structure.
The server uses standard API calls to the portal. You should implement your own caching logic if you are running frequent, high-volume requests to avoid hitting rate limits.
The server is ephemeral and runs in a sandbox. It only accesses public environmental records and does not persist any data, ensuring your internal infrastructure remains isolated.

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