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 CrewAI 11 tools — connect in under 2 minutes

Name: Pagar.me
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

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

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Pagar.me Specialist",
    goal="Help users interact with Pagar.me effectively",
    backstory=(
        "You are an expert at leveraging Pagar.me 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 Pagar.me "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

When paired with CrewAI, Pagar.me becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Pagar.me 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

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 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 Pagar.me to CrewAI via MCP

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

Why Use CrewAI with the Pagar.me MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Pagar.me 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

Pagar.me + CrewAI Use Cases

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

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

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

Pagar.me MCP Tools for CrewAI (11)

These 11 tools become available when you connect Pagar.me to CrewAI 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 CrewAI

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

Common issues when connecting Pagar.me 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

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

Pagar.me + CrewAI FAQ

Common questions about integrating Pagar.me 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.