How do I get a PagBank Access Token?

Log in to your [**PagBank Account**](https://pagseguro.uol.com.br). Go to **Account > Credentials** (or Developer section) and generate your **Production Token**. Copy the token and paste it below.

Can I generate Pix payments?

Yes! Use the `create_pix_payment` action. It returns the QR Code data (Base64 and copy-paste text) that you can display for the user to pay instantly.

Does it support Boleto?

Yes! Use the `create_boleto_payment` action. You need to provide the payer's Name and CPF to generate the Boleto link and barcode.

PagBank PagSeguro MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: PagBank PagSeguro
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="PagBank PagSeguro Specialist",
    goal="Help users interact with PagBank PagSeguro effectively",
    backstory=(
        "You are an expert at leveraging PagBank PagSeguro 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 PagBank PagSeguro "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

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

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About PagBank PagSeguro MCP Server

Connect PagBank (PagSeguro) to any AI agent and unlock Brazil's leading payment solutions — generate Pix QR codes, Boleto payments, and checkout links for credit cards through natural conversation.

When paired with CrewAI, PagBank PagSeguro becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call PagBank PagSeguro tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Instant Pix — Generate Pix payments with QR Code data for instant confirmation
Boleto Generation — Create Boleto Bancário for customers without credit cards
Checkout Links — Generate payment links that support Credit Card installments
Transaction Search — Find payments by date range or reference code
Refunds — Cancel transactions (full or partial) easily
Account Balance — Check your current available balance
Installments — Calculate credit card installment options

The PagBank PagSeguro MCP Server exposes 9 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect PagBank PagSeguro to CrewAI via MCP

Follow these steps to integrate the PagBank PagSeguro MCP Server with CrewAI.

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 9 tools from PagBank PagSeguro

Why Use CrewAI with the PagBank PagSeguro MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with PagBank PagSeguro 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 the 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

PagBank PagSeguro + CrewAI Use Cases

Practical scenarios where CrewAI combined with the PagBank PagSeguro MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries PagBank PagSeguro 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 PagBank PagSeguro, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain PagBank PagSeguro 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 PagBank PagSeguro against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

PagBank PagSeguro MCP Tools for CrewAI (9)

These 9 tools become available when you connect PagBank PagSeguro to CrewAI via MCP:

cancel_transaction

If amount is provided, performs partial cancellation. Cancel a transaction (full or partial refund)

create_boleto_payment

Generate a Boleto payment

create_checkout_link

Returns a code and a URL. Create a payment link (checkout) for multiple items

create_pix_payment

Create an instant Pix payment

get_balance

Get the current account balance

get_installment_options

Get installment options for a card brand

get_order

Get details of an order by ID

get_transaction

Get details of a transaction by code

search_transactions

Search for transactions by date range

Example Prompts for PagBank PagSeguro in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with PagBank PagSeguro immediately.

"Create a Pix payment of R$99.90 for reference 'ORDER-001'."

"Show me the balance of my account."

"Cancel transaction 12345-ABCDE-67890."

Troubleshooting PagBank PagSeguro MCP Server with CrewAI

Common issues when connecting PagBank PagSeguro to CrewAI through the 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

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

PagBank PagSeguro + CrewAI FAQ

Common questions about integrating PagBank PagSeguro 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.