Bring Open Data
to CrewAI
Learn how to connect Acre Dados Abertos to CrewAI and start using 8 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 Acre Dados Abertos MCP Server?
Connect to the Acre Dados Abertos portal to query public information from the State of Acre. This server allows AI agents to browse, search, and analyze government datasets, organizational structures, and thematic groups.
What you can do
- Dataset Discovery — List and search for specific packages (datasets) like municipal GDP, environmental data, or demographic statistics.
- Metadata Inspection — Fetch detailed metadata for packages and individual resources (files) to understand data provenance and formats.
- Thematic Exploration — Browse data organized by thematic groups (e.g., economy, health, education) or by the specific government organizations that publish them.
- Deep Data Querying — Search and filter records directly within tabular resources (Datastore) like CSV files without downloading the entire dataset.
How it works
- Subscribe to this server
- (Optional) Enter your Acre API Key if you have one 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 sample public datasets for research and reporting
- Journalists — verify government figures and find public records through natural language
- Developers — integrate real-time public data into applications using the Datastore search capabilities
Built-in capabilities (8)
Get details for a specific group
Get detailed metadata for a specific dataset (package)
Get metadata for a specific resource
List all thematic groups
List all organizations
List all dataset (package) names
Search and filter records within a tabular resource (Datastore)
Search for datasets (packages)
Why CrewAI?
When paired with CrewAI, Acre Dados Abertos becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Acre Dados Abertos 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
Acre Dados Abertos in CrewAI
Acre Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Acre Dados Abertos 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 Acre Dados Abertos in CrewAI
The Acre Dados Abertos 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 8 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
Acre Dados Abertos for CrewAI
Every tool call from CrewAI to the Acre Dados Abertos 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 search for datasets related to a specific topic like 'health'?
Use the search_packages tool with the query 'saude'. The agent will return a list of datasets matching that theme from the Acre portal.
Can I filter data inside a CSV file without downloading it?
Yes! If the resource is in the Datastore, use the search_datastore tool with the Resource ID. You can apply filters like {"municipio": "Rio Branco"} to get specific rows.
How do I find which government departments are publishing data?
Use the list_organizations tool to see all contributing entities, or list_groups to see thematic categorizations like 'Environment' or 'Economy'.
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.
Explore More MCP Servers
View all →
Trivia Quiz Generator
3 toolsGenerate random trivia quiz questions by category, difficulty, and tags � perfect for games, education, and interactive content.
Slack
6 toolsAutomate Slack messaging — send messages, search conversations, list channels and users directly from any AI agent.
Chameleon.io
8 toolsManage product adoption and onboarding via Chameleon — trigger tours, analyze surveys, and track user events directly from any AI agent.
Supabase Vector
7 toolsConnect your AI to Supabase Vector. Execute pgvector semantic searches, manage embeddings, and run relational database queries directly from your terminal.