Bring Open Data
to CrewAI
Learn how to connect Minas Gerais (Estado) to CrewAI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
What you can do
- Dataset Discovery — List all available packages or search for specific datasets related to health, education, or finance using
list_packagesandsearch_packages. - Organizational Insights — Explore the structure of the state government by listing departments and viewing their specific datasets via
list_organizationsandget_organization. - Resource Access — Identify specific files (CSV, PDF, XLS) within datasets and retrieve their metadata using
get_resourceandsearch_resources. - Categorized Browsing — Navigate data through thematic groups (categories) or tags to find exactly what you need with
list_groupsandlist_tags.
How it works
- Subscribe to this server
- (Optional) Enter your Minas Gerais Portal API Key for higher rate limits
- Start querying public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly find and inspect public datasets for research and reporting
- Journalists — automate the discovery of government transparency data and organizational structures
- Developers — integrate official state data into applications without manual portal navigation
Built-in capabilities (10)
Get details and datasets of a group
Get details and datasets of an organization
Get full metadata of a specific dataset
Get metadata of a specific resource (file)
List all groups (categories)
List all organizations
List all dataset names in the portal
List all tags used in the portal
Search for datasets matching specific criteria
Search for resources matching a query
Why CrewAI?
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.
- —
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
mcpsparameter 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) in CrewAI
Minas Gerais (Estado) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Minas Gerais (Estado) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Minas Gerais (Estado) in CrewAI
The Minas Gerais (Estado) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Minas Gerais (Estado) for CrewAI
Every tool call from CrewAI to the Minas Gerais (Estado) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I find datasets related to a specific topic like 'health'?
You can use the search_packages tool with the query 'saude' or use get_group with the ID 'saude' to list all datasets categorized under that theme.
Can I see the actual download links for the data files?
Yes. By using get_package with a dataset ID, the AI will retrieve the metadata for all associated resources, which typically includes the URL, format (CSV, PDF), and description of each file.
How do I list all government agencies that publish data on the portal?
Use the list_organizations tool. It will return a list of all government bodies (like CGE, SEF, etc.) that have active datasets in the Minas Gerais portal.
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.
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.
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