Paraíba Open Data MCP Server for CrewAIGive CrewAI instant access to 20 tools to Get Acao Governamental, Get Autorizacao Pagamento, Get Contratos, and more

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

GDPR Free for Subscribers

Connect your CrewAI agents to Paraíba Open Data through Vinkius, pass the Edge URL in the `mcps` parameter and every Paraíba Open Data tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Paraíba Open Data MCP Server for CrewAI is a standout in the Data Analytics category — giving your AI agent 20 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Paraíba Open Data Specialist",
    goal="Help users interact with Paraíba Open Data effectively",
    backstory=(
        "You are an expert at leveraging Paraíba Open Data tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Paraíba Open Data "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 20 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About 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.

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.

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.

The Paraíba Open Data MCP Server exposes 20 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 20 Paraíba Open Data tools available for CrewAI

When CrewAI connects to Paraíba Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-spending, transparency, budget-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get acao governamental on Paraíba Open Data

Get Ação Governamental (Government Action) data

get

Get autorizacao pagamento on Paraíba Open Data

Get Autorizações de Pagamento (Payment Authorizations) data

get

Get contratos on Paraíba Open Data

Get Contratos (Contracts) data

get

Get contratos aditivos on Paraíba Open Data

Get Aditivos de Contratos (Contract Addendums) data

get

Get convenios on Paraíba Open Data

Get Convênios (Covenants/Agreements) data

get

Get diarias on Paraíba Open Data

Get Despesa Orçamentária - Diárias (Daily Allowances) data

get

Get dotacao on Paraíba Open Data

Get Dotação Orçamentária (Budget Allocation) data

get

Get elemento despesa on Paraíba Open Data

Get Elemento da Despesa (Expense Element) data

get

Get empenho on Paraíba Open Data

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

get

Get folha pagamento on Paraíba Open Data

Get Resumo da Folha de Pagamento (Payroll Summary) data

get

Get fonte recurso on Paraíba Open Data

Get Fonte de Recurso (Resource Source) data

get

Get funcao on Paraíba Open Data

Get Função (Function) data

get

Get liquidacao on Paraíba Open Data

Get Liquidação (Liquidation) data

get

Get modalidade licitacao on Paraíba Open Data

Get Modalidade de Licitação (Bidding Modality) data

get

Get receitas execucao on Paraíba Open Data

Get Receitas - Execução (Revenue Execution) data

get

Get receitas previsao on Paraíba Open Data

Get Receitas - Previsão (Revenue Forecast) data

get

Get restos a pagar on Paraíba Open Data

Get Restos a Pagar (Outstanding Payables) data

get

Get subfuncao on Paraíba Open Data

Get Sub Função (Sub-function) data

get

Get unidade gestora on Paraíba Open Data

Get Unidade Gestora (Managing Unit) data

get

Get unidade orcamentaria on Paraíba Open Data

Get Unidade Orçamentária (Budgetary Unit) data

Connect Paraíba Open Data to CrewAI via MCP

Follow these steps to wire Paraíba Open Data into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 20 tools from Paraíba Open Data

Why Use CrewAI with the Paraíba Open Data MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Paraíba Open Data through the Model Context Protocol.

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

Paraíba Open Data + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Paraíba Open Data MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Paraíba Open Data for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Paraíba Open Data, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Paraíba Open Data tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Paraíba Open Data against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Paraíba Open Data in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Paraíba Open Data immediately.

"Show me the budget allocation (dotação) for Paraíba in 2024."

"What was the payroll summary for March 2024?"

"List the daily allowances (diárias) paid in January 2024."

Troubleshooting Paraíba Open Data MCP Server with CrewAI

Common issues when connecting Paraíba Open Data to CrewAI through Vinkius, and how to resolve them.

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.

Paraíba Open Data + CrewAI FAQ

Common questions about integrating Paraíba Open Data MCP Server with CrewAI.

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.