How to Use the Acre Dados Abertos MCP in CrewAI

Q: How do I configure CrewAI agents to use Acre Dados Abertos?

Add the Vinkius endpoint URL directly to the mcps parameter when defining your CrewAI agents. The framework automatically registers the tools for use during execution.

Q: Can I restrict which CrewAI agents can access Acre Dados Abertos tools?

Yes. Use MCPServerHTTP from crewai.mcp to expose selected tools from the MCP Server, like listgroups, only to your research agents.

Q: What happens if an agent fails to find a dataset?

The agent can use searchpackages to broaden its query, or consult the shared memory to see if another agent already identified the correct group using listgroups.

Deploy specialized teams of CrewAI agents to analyze and monitor Acre public data autonomously.

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Setup Acre Dados Abertos with CrewAI

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Coordinate multi-agent searches with CrewAI

The `search_packages` tool allows a specialized research agent to find relevant datasets within the Acre data catalog. This agent shares its findings with an analyst agent, who then takes over to inspect the specific contents. By passing the Vinkius URL in your CrewAI `mcps` array, both agents gain access to the tools they need. The researcher finds the dataset, while the analyst calls `get_package` to examine schema metadata without human steps.

Query datastores using specialized MCP Server tools

The `search_datastore` tool enables your data-analyst agent to extract records directly from Acre's active tabular databases. The agent filters rows based on criteria defined by the lead strategist agent in your crew. Because CrewAI supports hierarchical execution, a supervisor agent can verify the query parameters before the analyst runs the search. This prevents your crew from running redundant or overly broad database queries.

Map organizational datasets across your crew

The `list_organizations` tool lets your crew map out the administrative structure of Acre's public offices. A coordination agent uses this list to organize the MCP tools and assign specific departments to different research agents. Individual agents then run `list_packages` filtered by organization to build a complete map of available public data. This structured approach lets your crew process massive public catalogs in parallel.

Setup guide

Set up Acre 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 Acre Dados Abertos tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Acre 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 →

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="Acre Dados Abertos Analyst",
        goal="Access and analyze Acre Dados Abertos data via MCP.",
        backstory="Expert analyst with direct Acre Dados Abertos access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Acre 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 Acre 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 Acre Dados Abertos MCP in CrewAI

Add the Vinkius endpoint URL directly to the `mcps` parameter when defining your CrewAI agents. The framework automatically registers the tools for use during execution.

Yes. Use `MCPServerHTTP` from `crewai.mcp` to expose selected tools from the MCP Server, like `list_groups`, only to your research agents.

Agents use CrewAI's shared memory. When one agent finds a resource using `get_resource`, the file metadata is stored in the crew's context for other agents to use.

The agent can use `search_packages` to broaden its query, or consult the shared memory to see if another agent already identified the correct group using `list_groups`.

The connection to this MCP Server uses a single HTTPS endpoint token managed by Vinkius. The agents only access read-only public datasets and metadata from Acre, keeping your local environment isolated.

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