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 LlamaIndex 9 tools — connect in under 2 minutes

Name: PagBank PagSeguro
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add PagBank PagSeguro as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to PagBank PagSeguro. "
            "You have 9 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine PagBank PagSeguro tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the PagBank PagSeguro MCP Server

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

Data-first architecture: LlamaIndex agents combine PagBank PagSeguro tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain PagBank PagSeguro tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query PagBank PagSeguro, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what PagBank PagSeguro tools were called, what data was returned, and how it influenced the final answer

PagBank PagSeguro + LlamaIndex Use Cases

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

Hybrid search: combine PagBank PagSeguro real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query PagBank PagSeguro to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying PagBank PagSeguro for fresh data

Analytical workflows: chain PagBank PagSeguro queries with LlamaIndex's data connectors to build multi-source analytical reports

PagBank PagSeguro MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect PagBank PagSeguro to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

PagBank PagSeguro + LlamaIndex FAQ

Common questions about integrating PagBank PagSeguro MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query PagBank PagSeguro tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.