Pydantic AISDK

Paraíba Open Data MCP Server

Bring Public Spending
to Pydantic AI

Name: Paraíba Open Data MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

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

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

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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

Subscribe to this server
Enter your API access token for the Paraíba data proxy
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 Pydantic AI?

Pydantic AI validates every Paraíba Open Data tool response against typed schemas, catching data inconsistencies at build time. Connect 20 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
—
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Paraíba Open Data integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your Paraíba Open Data connection logic from agent behavior for testable, maintainable code

See it in action

Paraíba Open Data in Pydantic AI

AI Agent→Vinkius

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 Pydantic AI 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 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

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Paraíba Open Data in Pydantic AI

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 Pydantic AI 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.

Unlock for AI Agents View full Paraíba Open Data details →

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 Pydantic AI

Every tool call from Pydantic AI 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

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.

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.

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.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Paraíba Open Data MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.