Bring Public Spending
to CrewAI
Learn how to connect Sergipe Dados Abertos to CrewAI and start using 4 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 Sergipe Dados Abertos MCP Server?
Connect to the Sergipe Transparency Portal and query official government data through natural conversation. This server provides direct access to the open data infrastructure of the State of Sergipe, Brazil.
What you can do
- Expenditures (Despesas) — Query detailed state spending, including payments to suppliers, sub-elements, and inter-governmental transfers by fiscal year.
- Revenues (Receitas) — Monitor state collection, including tax revenue (ICMS, IPVA) and federal transfers with specific date ranges.
- Personnel (Servidores) — Access information about the state workforce, including active and retired employees, positions, and salary data.
- Budget (Orçamento) — Inspect the Annual Budget Law (LOA) and track real-time budget execution for any given fiscal year.
How it works
- Subscribe to this server
- The server connects to the official Sergipe Open Data API
- Start auditing public accounts from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Journalists & Researchers — quickly extract spending data and personnel counts for investigative reporting
- Citizens & Activists — monitor how public resources are being allocated in the state of Sergipe
- Data Analysts — fetch clean JSON data for fiscal analysis without manual CSV downloads
Built-in capabilities (4)
Get state expenditures (Despesas)
Get budget data (Orçamento)
Get state revenues (Receitas)
Get personnel information (Servidores)
Why CrewAI?
When paired with CrewAI, Sergipe Dados Abertos becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Sergipe 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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Sergipe Dados Abertos in CrewAI
Sergipe Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Sergipe 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 Sergipe Dados Abertos in CrewAI
The Sergipe 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 4 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
Sergipe Dados Abertos for CrewAI
Every tool call from CrewAI to the Sergipe 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 filter state expenditures by a specific government body?
Yes. Use the get_despesas tool and provide the codigoOrgao parameter along with the fiscal year to see spending for a specific department.
Is it possible to see the salary and position of state employees?
Yes, the get_servidores tool allows you to fetch personnel data, including positions and remuneration, filtered by month, year, and type of bond.
How can I check the total budget approved for a specific year?
You can use the get_orcamento tool by passing the exercicio (year) parameter. It will return data regarding the Annual Budget Law (LOA) and its execution.
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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