How to Use the IBAMA Dados Abertos MCP in CrewAI

Deploy specialized agent teams to analyze environmental registries using CrewAI and this MCP Server.

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Connect IBAMA Dados Abertos MCP to CrewAI

Create your Vinkius account to connect IBAMA Dados Abertos to CrewAI 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 CrewAI

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Coordinate multi-agent environmental audits using CrewAI

`datastore_search` allows your researcher agent to extract specific infraction records from the Brazilian national registry. While the researcher pulls raw data, a separate analyst agent uses CrewAI to parse the metrics and flag high-risk violations. This division of labor prevents your LLM context from getting overwhelmed. The researcher agent focuses entirely on querying the database, while the analyst agent synthesizes the output into clean compliance reports.

Automate resource discovery across complex teams

`search_datasets` enables your discovery agent to find newly published environmental datasets. Once a new dataset is found, the agent shares the resource ID with a verification agent in your CrewAI team. The verification agent then calls `show_resource` to inspect the metadata and verify data integrity. This collaborative loop ensures your autonomous operations always work with valid files.

Map ministerial departments with an MCP Server

`list_organizations` gives your organizational agent the structure of the Brazilian environmental ministry. The agent maps out which departments are issuing the most infractions based on this structural data. By calling `show_organization`, the agent extracts specific datasets associated with high-activity departments. Your CrewAI team uses this intelligence to prioritize its auditing schedule.

Setup guide

Set up IBAMA Dados Abertos MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke IBAMA Dados Abertos tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="IBAMA Dados Abertos Analyst",
    goal="Access and analyze IBAMA Dados Abertos data via MCP.",
    backstory="Expert analyst with direct IBAMA Dados Abertos access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent IBAMA Dados Abertos transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="IBAMA Dados Abertos Analyst",
        goal="Access and analyze IBAMA Dados Abertos data via MCP.",
        backstory="Expert analyst with direct IBAMA Dados Abertos access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent IBAMA Dados Abertos transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

You pass the MCP Server URL to the target agent's configuration block. This limits tools like `datastore_search` to your researcher agent while keeping other agents focused on analysis.

Yes, you set up a hierarchical crew where a manager agent coordinates the search. The team uses `search_resources` and `show_dataset` to track environmental updates on a schedule.

Yes, you can use the framework's tool filter to restrict access. For example, you can allow only the analyst agent to run `show_resource` while blocking others.

CrewAI agents use their shared memory to pass resource IDs and query results. One agent finds a resource with `search_datasets` and passes the ID to the next agent for deep analysis.

Vinkius handles authentication at the edge, meaning your credentials never touch the CrewAI environment. The raw environmental infraction data is retrieved via secure HTTPS and processed within ephemeral runtimes that vanish after execution.

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