Minas Gerais (Estado) MCP Server for CrewAIGive CrewAI instant access to 10 tools to Get Group, Get Organization, Get Package, and more

Name: Minas Gerais (Estado)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Minas Gerais (Estado) through Vinkius, pass the Edge URL in the `mcps` parameter and every Minas Gerais (Estado) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Minas Gerais (Estado) MCP Server for CrewAI is a standout in the Data Management category — giving your AI agent 10 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Minas Gerais (Estado) Specialist",
    goal="Help users interact with Minas Gerais (Estado) effectively",
    backstory=(
        "You are an expert at leveraging Minas Gerais (Estado) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Minas Gerais (Estado) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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About Minas Gerais (Estado) MCP Server

Connect to the Minas Gerais State Open Data Portal to explore a vast repository of public information. This server allows AI agents to programmatically browse, search, and retrieve metadata from one of Brazil's most comprehensive transparency portals.

When paired with CrewAI, Minas Gerais (Estado) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Minas Gerais (Estado) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Dataset Discovery — List all available packages or search for specific datasets related to health, education, or finance using list_packages and search_packages.
Organizational Insights — Explore the structure of the state government by listing departments and viewing their specific datasets via list_organizations and get_organization.
Resource Access — Identify specific files (CSV, PDF, XLS) within datasets and retrieve their metadata using get_resource and search_resources.
Categorized Browsing — Navigate data through thematic groups (categories) or tags to find exactly what you need with list_groups and list_tags.

The Minas Gerais (Estado) MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Minas Gerais (Estado) tools available for CrewAI

When CrewAI connects to Minas Gerais (Estado) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, transparency, public-records, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get group on Minas Gerais (Estado)

Get details and datasets of a group

get

Get organization on Minas Gerais (Estado)

Get details and datasets of an organization

get

Get package on Minas Gerais (Estado)

Get full metadata of a specific dataset

get

Get resource on Minas Gerais (Estado)

Get metadata of a specific resource (file)

list

List groups on Minas Gerais (Estado)

List all groups (categories)

list

List organizations on Minas Gerais (Estado)

List all organizations

list

List packages on Minas Gerais (Estado)

List all dataset names in the portal

list

List tags on Minas Gerais (Estado)

List all tags used in the portal

Search packages on Minas Gerais (Estado)

Search for datasets matching specific criteria

Search resources on Minas Gerais (Estado)

Search for resources matching a query

Connect Minas Gerais (Estado) to CrewAI via MCP

Follow these steps to wire Minas Gerais (Estado) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Minas Gerais (Estado)

Why Use CrewAI with the Minas Gerais (Estado) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Minas Gerais (Estado) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Minas Gerais (Estado) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Minas Gerais (Estado) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Minas Gerais (Estado) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Minas Gerais (Estado), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Minas Gerais (Estado) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Minas Gerais (Estado) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Minas Gerais (Estado) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Minas Gerais (Estado) immediately.

"Search for datasets related to 'educação' in the Minas Gerais portal."

"List all organizations available in the portal."

"Get the metadata for the dataset 'planejamento-e-monitoramento'."

Troubleshooting Minas Gerais (Estado) MCP Server with CrewAI

Common issues when connecting Minas Gerais (Estado) to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Minas Gerais (Estado) + CrewAI FAQ

Common questions about integrating Minas Gerais (Estado) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.