Bring Brazil Law
to CrewAI
Learn how to connect STF Dados Abertos to CrewAI and start using 9 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 STF Dados Abertos MCP Server?
Connect your AI agent to the STF Dados Abertos portal and explore the transparency data of the Brazilian Supreme Federal Court through natural language.
What you can do
- Dataset Discovery — List all available datasets (packages) and search for specific legal or administrative topics using keywords.
- Resource Inspection — Fetch detailed metadata for specific files, data links, and resources within a dataset to understand their structure.
- DataStore Querying — Perform SQL-like queries directly on DataStore-enabled resources to extract specific information without downloading large files.
- Institutional Browsing — Explore the organizations and groups that categorize and maintain the court's open data.
- Metadata Analysis — Access comprehensive metadata for packages, organizations, and groups to understand data provenance and update frequency.
How it works
- Subscribe to this server
- (Optional) Enter your STF API Key for higher access limits
- Start querying Brazilian judicial data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Legal Researchers — quickly find and analyze court datasets without manual portal navigation
- Data Journalists — automate the discovery of transparency data and resource updates for reporting
- Developers & Analysts — integrate official STF data into applications using structured metadata and DataStore queries
Built-in capabilities (9)
Get group details
Get organization details
Get dataset details
Get resource details
List groups
List organizations
List all datasets (packages) in STF Dados Abertos
Query DataStore
Search datasets
Why CrewAI?
When paired with CrewAI, STF Dados Abertos becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call STF 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
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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
STF Dados Abertos in CrewAI
STF Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect STF 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 STF Dados Abertos in CrewAI
The STF 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 9 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
STF Dados Abertos for CrewAI
Every tool call from CrewAI to the STF Dados Abertos MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I perform SQL-like queries on the court's data files?
Yes! If a resource is integrated into the DataStore, you can use the search_datastore tool with the Resource ID to query the data within the file directly.
How do I find datasets related to a specific legal topic?
Use the search_packages tool. Simply provide a search term (e.g., 'processos' or 'votação') and the agent will return all matching datasets from the portal.
Is it possible to list all organizations that publish data on the STF portal?
Absolutely. Use the list_organizations tool to see all departments and entities, or get_organization to see details and datasets owned by a specific one.
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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