Bring Public Spending
to OpenAI Agents SDK
Learn how to connect Sergipe Dados Abertos to OpenAI Agents SDK 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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 4 tools from Sergipe Dados Abertos through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Sergipe Dados Abertos, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Sergipe Dados Abertos in OpenAI Agents SDK
Sergipe Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Sergipe Dados Abertos to OpenAI Agents SDK 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 OpenAI Agents SDK
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 OpenAI Agents SDK 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 OpenAI Agents SDK
Every tool call from OpenAI Agents SDK 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 the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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