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 Pydantic AI 9 tools — connect in under 2 minutes

Name: PagBank PagSeguro
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect PagBank PagSeguro through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to PagBank PagSeguro "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in PagBank PagSeguro?"
    )
    print(result.data)

asyncio.run(main())

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* 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

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.

Pydantic AI validates every PagBank PagSeguro tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through the 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.

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 Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from PagBank PagSeguro with type-safe schemas

Why Use Pydantic AI with the PagBank PagSeguro MCP Server

Pydantic AI provides unique advantages when paired with PagBank PagSeguro through the Model Context Protocol.

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 PagBank PagSeguro integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your PagBank PagSeguro connection logic from agent behavior for testable, maintainable code

PagBank PagSeguro + Pydantic AI Use Cases

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

Type-safe data pipelines: query PagBank PagSeguro with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple PagBank PagSeguro tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query PagBank PagSeguro and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock PagBank PagSeguro responses and write comprehensive agent tests

PagBank PagSeguro MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect PagBank PagSeguro to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting PagBank PagSeguro to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

PagBank PagSeguro + Pydantic AI FAQ

Common questions about integrating PagBank PagSeguro MCP Server with Pydantic AI.

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 PagBank PagSeguro MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.