How to Use the Mercado Pago MCP in Pydantic AI

Q: Can Pydantic AI handle card tokenization with Mercado Pago?

Yes, the agent calls createcard using a pre-generated token from your frontend. Pydantic AI validates that the customer ID and card token conform to the expected string formats before sending the payload.

Q: How do I list active payment methods in Brazil using Pydantic AI?

The agent calls listpaymentmethods to retrieve the current list of credit, debit, and ticket options. Pydantic AI parses this list into a typed model so your agent can safely recommend valid payment options.

Build type-safe billing pipelines using Pydantic AI and our Mercado Pago MCP Server to validate every transaction.

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Connect Mercado Pago MCP to Pydantic AI

Create your Vinkius account to connect Mercado Pago to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mercado Pago with Pydantic AI

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Validate Pix Payments with Pydantic AI

The `create_pix_payment` tool outputs QR code strings and transaction payloads that are immediately validated against strict Pydantic schemas. If the API returns unexpected structures, Pydantic AI raises a validation error instantly instead of letting corrupted data pass. This strict verification guarantees that your agent only processes valid payment payloads. The agent extracts the QR data safely, ensuring your frontend receives perfectly formatted strings for rendering.

Strict Customer Onboarding via Pydantic AI

The `create_customer` tool registers buyers in Brazil, and `create_card` attaches tokenized cards to those profiles with full type safety. Pydantic AI enforces type constraints on incoming user inputs before they ever reach the API endpoints. By calling `get_identification_types` first, the agent confirms the valid document types at runtime. Any mismatch in CPF or CNPJ formatting triggers an immediate validation failure, stopping bad data at the boundary.

Audit Payments Safely using Pydantic AI

The `search_payments` tool returns paginated lists of past transactions, which the agent parses into typed Python models using this MCP schema. Pydantic AI validates the structure of every transaction record returned, preventing silent errors during accounting reconciliation. When initiating a refund, the agent executes `refund_payment` and verifies the returned refund status. If the refund amount or status field deviates from the expected schema, the system halts execution to protect your ledger.

Setup guide

Set up Mercado Pago MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "mercado-pago-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Mercado Pago tools.",
)

result = await agent.run("List recent Mercado Pago transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mercado Pago. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Mercado Pago MCP in Pydantic AI

Use MCPToolset with your Vinkius HTTP endpoint and pass it to the toolsets parameter of your Agent. Pydantic AI automatically inspects the MCP tools and registers them with full runtime validation.

The framework raises a validation error immediately, preventing the agent from acting on corrupt data. This ensures your billing pipeline fails loudly and safely instead of executing incorrect business logic.

Yes, the agent calls create_card using a pre-generated token from your frontend. Pydantic AI validates that the customer ID and card token conform to the expected string formats before sending the payload.

The agent calls list_payment_methods to retrieve the current list of credit, debit, and ticket options. Pydantic AI parses this list into a typed model so your agent can safely recommend valid payment options.

Credentials are encrypted and handled directly by the Vinkius zero-trust proxy. No sensitive payment records, card tokens, or Pix payloads are stored on the Vinkius MCP hosting platform.

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