How do I get my Secret Key?

Log in to the Pagar.me dashboard, navigate to **Settings > API Keys** and copy your **Secret Key** (starts with `sk_...`). No complex OAuth apps, no webhooks — just connect and start processing payments.

Does it support Pix and Boleto?

Yes! Generate instant Pix QR Codes or Boletos right in the chat. Your agent handles the entire checkout flow — creating the order, retrieving the payment code, and allowing the customer to pay without ever leaving the conversation.

Can I manage subscriptions?

Yes. Just tell your AI agent to subscribe a new customer. It will register the customer, attach them to your predefined SaaS recurring plan, and confirm the active billing status — all in a single prompt without touching a dashboard.

Can I manage complete customer profiles and track their transaction histories?

Absolutely. View detailed customer records, pull entire order histories, and verify payment statuses instantly — perfect for SaaS founders, customer support teams, and digital agencies handling multiple accounts.

Pagar.me MCP Server for LlamaIndex 11 tools — connect in under 2 minutes

Name: Pagar.me
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 11 Tools Framework

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

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 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 Pagar.me. "
            "You have 11 tools available."
        ),
    )

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

asyncio.run(main())

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DLPData protection

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Ed25519Audit chain

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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

About Pagar.me MCP Server

Connect Pagar.me to any AI agent and unlock a powerful Brazilian payment infrastructure — create orders with Pix, Boleto, or Credit Card, manage recurring subscriptions, and track transactions through natural conversation.

LlamaIndex agents combine Pagar.me tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through 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

Order Creation — Create orders for single items with multiple payment methods
Pix Payments — Generate instant Pix QR Codes for immediate payment
Boleto Generation — Create Boleto Bancário with custom due dates
Subscriptions — Set up recurring billing for services
Customer Management — Register customers and view their history
Transaction Tracking — List orders and check their status

The Pagar.me MCP Server exposes 11 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 Pagar.me to LlamaIndex via MCP

Follow these steps to integrate the Pagar.me 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 11 tools from Pagar.me

Why Use LlamaIndex with the Pagar.me MCP Server

LlamaIndex provides unique advantages when paired with Pagar.me through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Pagar.me tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Pagar.me tool calls with transformations, filters, and re-rankers in a typed pipeline

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

Observability integrations show exactly what Pagar.me tools were called, what data was returned, and how it influenced the final answer

Pagar.me + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Pagar.me MCP Server delivers measurable value.

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

Data enrichment: query Pagar.me 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 Pagar.me for fresh data

Analytical workflows: chain Pagar.me queries with LlamaIndex's data connectors to build multi-source analytical reports

Pagar.me MCP Tools for LlamaIndex (11)

These 11 tools become available when you connect Pagar.me to LlamaIndex via MCP:

cancel_order

Cancel an order

capture_order

Capture an authorized order

create_boleto_order

Create an order paid via Boleto

create_customer

Document can be CPF or CNPJ. Register a new customer

create_order

Items and Customer are required. You can add custom payments array or use the Pix/Boleto helpers. Create a new order with credit card or custom payments

create_pix_order

Expires in 1 hour. Create an order paid via Pix

create_subscription

Create a recurring subscription for a customer

get_customer

Get customer details

get_order

Get details of a specific order

get_subscription

Get subscription details

list_orders

List recent orders

Example Prompts for Pagar.me in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Pagar.me immediately.

"Create a Pix order for R$50.00 for customer João Silva."

"Show me the last 5 orders."

"Create a monthly subscription of R$99.90 for customer 123 on plan 456."

Troubleshooting Pagar.me MCP Server with LlamaIndex

Common issues when connecting Pagar.me to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Pagar.me + LlamaIndex FAQ

Common questions about integrating Pagar.me 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 Pagar.me tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.