Pagar.me MCP Server for Pydantic AI 11 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Pagar.me through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Pagar.me "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Pagar.me?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every Pagar.me tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through 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
- 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 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 Pagar.me to Pydantic AI via MCP
Follow these steps to integrate the Pagar.me 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 11 tools from Pagar.me with type-safe schemas
Why Use Pydantic AI with the Pagar.me MCP Server
Pydantic AI provides unique advantages when paired with Pagar.me 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 Pagar.me integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Pagar.me connection logic from agent behavior for testable, maintainable code
Pagar.me + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Pagar.me MCP Server delivers measurable value.
Type-safe data pipelines: query Pagar.me with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Pagar.me tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Pagar.me and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Pagar.me responses and write comprehensive agent tests
Pagar.me MCP Tools for Pydantic AI (11)
These 11 tools become available when you connect Pagar.me to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Pagar.me to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiPagar.me + Pydantic AI FAQ
Common questions about integrating Pagar.me MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Pagar.me with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Pagar.me to Pydantic AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
