Mercado Pago MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mercado Pago through the 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 Mercado Pago "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Mercado Pago?"
)
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 Mercado Pago MCP Server
Connect Mercado Pago to any AI agent and unlock Brazil's leading payment gateway — create Pix payments, manage credit card transactions, issue refunds, and handle customer data through natural conversation.
Pydantic AI validates every Mercado Pago tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Pix Payments — Generate instant Pix QR Codes for frictionless payments
- Credit Card Processing — Charge cards (Visa, Mastercard, Elo) securely
- Checkout Preferences — Generate payment links for web checkout
- Customer Management — Register customers and save cards for one-click payments
- Refunds — Issue partial or full refunds instantly
- Payment Search — Find and reconcile payments by email, status, or ID
- Payment Methods — List all supported methods in Brazil
The Mercado Pago MCP Server exposes 12 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 Mercado Pago to Pydantic AI via MCP
Follow these steps to integrate the Mercado Pago 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 12 tools from Mercado Pago with type-safe schemas
Why Use Pydantic AI with the Mercado Pago MCP Server
Pydantic AI provides unique advantages when paired with Mercado Pago 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 Mercado Pago integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Mercado Pago connection logic from agent behavior for testable, maintainable code
Mercado Pago + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Mercado Pago MCP Server delivers measurable value.
Type-safe data pipelines: query Mercado Pago with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Mercado Pago tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Mercado Pago and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Mercado Pago responses and write comprehensive agent tests
Mercado Pago MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Mercado Pago to Pydantic AI via MCP:
create_card
Save a card for a customer
create_customer
Register a new customer
create_payment
Requires a valid card token (generated via SDK frontend). Payment methods: visa, master, amex, etc. Create a new payment using card or other methods
create_pix_payment
Returns QR Code data for the user to scan and pay instantly. Create a Pix payment with QR Code
create_preference
Create a checkout preference for redirection
get_customer
Get customer details
get_identification_types
Get valid identification types (CPF, CNPJ, etc)
get_payment
Get details of a specific payment by ID
get_preference
Get details of a checkout preference
list_payment_methods
List all available payment methods for Brazil
refund_payment
If amount is omitted, performs a full refund. Refund a payment partially or fully
search_payments
Useful for reconciliation and reporting. Search for payments with filters
Example Prompts for Mercado Pago in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Mercado Pago immediately.
"Create a Pix payment for R$150 for a customer."
"Refund payment 12345678 fully."
"Show me all approved payments for user@email.com."
Troubleshooting Mercado Pago MCP Server with Pydantic AI
Common issues when connecting Mercado Pago to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMercado Pago + Pydantic AI FAQ
Common questions about integrating Mercado Pago 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 Mercado Pago 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 Mercado Pago to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
