How to Use the Minas Gerais (Estado) MCP in CrewAI

Deploy autonomous agent crews to monitor and analyze Minas Gerais (Estado) public data using the CrewAI framework.

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Connect Minas Gerais (Estado) MCP to CrewAI

Create your Vinkius account to connect Minas Gerais (Estado) 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 Minas Gerais (Estado) with CrewAI

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Perplexity

Specialized agent collaboration with CrewAI

Assign agents specific roles, like a researcher for `list_tags` and an analyst for `get_package`. They share memory to build a complete picture of the state's data. Your crew works together to synthesize information. One agent finds the resource, and another interprets the metadata without you needing to step in.

Autonomous data monitoring for state records

Set up a persistent agent to periodically run `search_packages` and identify new datasets. The agent can then alert you or log the findings autonomously. This saves you from manual checks. Your crew stays active and updates its internal state whenever new information appears on the portal.

Hierarchical execution for complex tasks

Create a manager agent that delegates tasks to specialized workers using `list_groups` or `search_resources`. The manager ensures the workflow follows your defined strategy. This structure handles complex research requests effectively. Each agent focuses on its assigned tool, and the manager compiles the final report for you.

Setup guide

Set up Minas Gerais (Estado) 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 Minas Gerais (Estado) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Minas Gerais (Estado) 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="Minas Gerais (Estado) Analyst",
        goal="Access and analyze Minas Gerais (Estado) data via MCP.",
        backstory="Expert analyst with direct Minas Gerais (Estado) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Minas Gerais (Estado) 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 Minas Gerais Open Data. 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 Minas Gerais (Estado) MCP in CrewAI

Assign a recurring task to your agent crew. It will use the provided tools to poll the portal and report back on any changes it detects.

Yes, pass a tool filter to the agent configuration. This prevents the crew from accidentally accessing tools you want to keep off-limits.

CrewAI agents use shared memory to exchange context. If one agent fetches a dataset, the others can access that information for their own tasks.

The server manages the request volume. You should set up your agents to space out their tasks to avoid hitting the portal's threshold.

The credentials are kept in your environment variables. They are used only by the server to authenticate your specific requests to the state API.

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