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Vinkius
CrewAIFramework
Paraíba Open Data MCP Server

Bring Public Spending
to CrewAI

Learn how to connect Paraíba Open Data to CrewAI and start using 20 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get Acao GovernamentalGet Autorizacao PagamentoGet ContratosGet Contratos AditivosGet ConveniosGet DiariasGet DotacaoGet Elemento DespesaGet EmpenhoGet Folha PagamentoGet Fonte RecursoGet FuncaoGet LiquidacaoGet Modalidade LicitacaoGet Receitas ExecucaoGet Receitas PrevisaoGet Restos A PagarGet SubfuncaoGet Unidade GestoraGet Unidade Orcamentaria

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Paraíba Open Data

What is the Paraíba Open Data MCP Server?

The Paraíba MCP Server connects your AI agent to the official Dados Abertos portal of the State of Paraíba. This integration allows for real-time auditing and analysis of public finances, government contracts, and personnel spending through natural conversation.

What you can do

  • Budget & Finance — Query budget allocations (get_dotacao), liquidations (get_liquidacao), and revenue execution or forecasts.
  • Public Spending — Inspect commitment notes (get_empenho), daily allowances for public servants (get_diarias), and payment authorizations.
  • Human Resources — Access detailed payroll summaries (get_folha_pagamento) to monitor state personnel costs.
  • Contracts & Agreements — List and analyze government contracts (get_contratos) and outstanding payables (Restos a Pagar).
  • Institutional Structure — Retrieve information about management units, government actions, and resource sources.

How it works

  1. Subscribe to this server
  2. Enter your API access token for the Paraíba data proxy
  3. Start auditing public data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Journalists & Researchers — Instantly aggregate spending data for investigative reports without manual CSV exports.
  • Public Auditors & Lawyers — Cross-reference contracts and payment authorizations directly from your workspace.
  • Engaged Citizens — Exercise transparency by asking simple questions about how state resources are allocated.

Built-in capabilities (20)

get_acao_governamental

Get Ação Governamental (Government Action) data

get_autorizacao_pagamento

Get Autorizações de Pagamento (Payment Authorizations) data

get_contratos

Get Contratos (Contracts) data

get_contratos_aditivos

Get Aditivos de Contratos (Contract Addendums) data

get_convenios

Get Convênios (Covenants/Agreements) data

get_diarias

Get Despesa Orçamentária - Diárias (Daily Allowances) data

get_dotacao

Get Dotação Orçamentária (Budget Allocation) data

get_elemento_despesa

Get Elemento da Despesa (Expense Element) data

get_empenho

Get Despesa Orçamentária - Notas de Empenho (Commitment Notes) data

get_folha_pagamento

Get Resumo da Folha de Pagamento (Payroll Summary) data

get_fonte_recurso

Get Fonte de Recurso (Resource Source) data

get_funcao

Get Função (Function) data

get_liquidacao

Get Liquidação (Liquidation) data

get_modalidade_licitacao

Get Modalidade de Licitação (Bidding Modality) data

get_receitas_execucao

Get Receitas - Execução (Revenue Execution) data

get_receitas_previsao

Get Receitas - Previsão (Revenue Forecast) data

get_restos_a_pagar

Get Restos a Pagar (Outstanding Payables) data

get_subfuncao

Get Sub Função (Sub-function) data

get_unidade_gestora

Get Unidade Gestora (Managing Unit) data

get_unidade_orcamentaria

Get Unidade Orçamentária (Budgetary Unit) data

Why CrewAI?

When paired with CrewAI, Paraíba Open Data becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Paraíba Open Data 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 mcps parameter 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

See it in action

Paraíba Open Data in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Paraíba Open Data and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Paraíba Open Data 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Paraíba Open Data in CrewAI

The Paraíba Open Data 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 20 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.

Paraíba Open Data
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Paraíba Open Data for CrewAI

Every tool call from CrewAI to the Paraíba Open Data MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I see the total payroll for a specific month and year?

Yes! Use the get_folha_pagamento tool by providing the exercicio (year) and mes (month). The agent will return a summary of personnel spending for that period.

02

How do I check government contracts for a specific year?

You can use the get_contratos tool with the exercicio parameter. This will list the contracts registered in the state's system for the requested year.

03

Is it possible to track outstanding debts (Restos a Pagar)?

Yes, the get_restos_a_pagar tool allows you to fetch data on expenses that were committed but not yet paid from previous fiscal years.

04

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.

05

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.

06

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.

07

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.

08

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.

09

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

10

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

11

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

12

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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