How to Use the Mercado Pago MCP in Mastra AI

Q: Does Mastra AI support human approval for Mercado Pago?

Yes. Enable requireToolApproval in your client config. This forces the agent to pause before executing sensitive actions like refundpayment.

Q: Can I chain Mercado Pago tools in Mastra AI?

Absolutely. You can pipe the output of listpaymentmethods into a decision node to determine if you should call createpixpayment or createpayment.

Build resilient payment workflows in Mastra AI with automated retry logic and conditional transaction branching.

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Connect Mercado Pago MCP to Mastra AI

Create your Vinkius account to connect Mercado Pago to Mastra 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 Mastra AI

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Perplexity

Automate payment flows in Mastra AI

Construct complex workflows where the agent executes `create_preference` to set up checkouts. If a transaction stalls, your Mastra workflow engine triggers a retry or notifies an admin. This keeps your operations running without manual oversight. You define the logic, and the agent handles the API calls to ensure every checkout reaches completion.

Handle failures with Mastra AI agents

Use `get_payment` to verify status after a delay. If the payment doesn't clear, your agent switches the workflow to request a different method from the customer. It removes the need for custom polling scripts. You get a reliable way to manage transaction state within your defined agent tasks.

Sync records using Mastra AI workflows

Run `search_payments` as a scheduled task to pull data into your reporting engine. The agent processes these results to flag issues or confirm settlement. This automates the grunt work of reconciliation. Your Mastra agents handle the data moving between the API and your internal systems.

Setup guide

Set up Mercado Pago MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Mercado Pago tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "mercado-pago-mcp-client",
  servers: {
    "mercado-pago-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Mercado Pago Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Mercado Pago tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Mercado Pago transactions"
);
console.log(result.text);

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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 Mastra AI

Define the MCP server endpoint in your configuration file. Once connected, your agents gain access to all 12 tools for building your payment logic.

Yes. Enable `requireToolApproval` in your client config. This forces the agent to pause before executing sensitive actions like `refund_payment`.

Absolutely. You can pipe the output of `list_payment_methods` into a decision node to determine if you should call `create_pix_payment` or `create_payment`.

It runs as a local process or a remote service you manage. Mastra connects via stdio or HTTP to execute the tools you expose.

All requests are scoped to your specific API credentials. The server acts as a pass-through and does not cache PII like names or document IDs on disk.

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