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How to Use the Mastercard MCP in Mastra AI

Build resilient, automated payment workflows with Mastercard tools using Mastra AI's workflow engine and agent retries.

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Mastra AI

Connect Mastercard MCP to Mastra AI

Create your Vinkius account to connect Mastercard 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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Resilient Card Verification Workflows

Build resilient payment pipelines that don't fall over when an API hiccup occurs. By combining this Mastercard MCP Server with Mastra AI, you can configure automatic retries with exponential backoff for critical card checks. If a network blip occurs during a `validate_account` check, your workflow pauses and retries before failing. You can also design complex conditional branches based on the card profile. For instance, if `bin_lookup` identifies a commercial card, Mastra AI can automatically route the transaction through a specific corporate billing pipeline. This keeps your payment routing logical and fully automated.

Human-in-the-Loop Mastercard Fraud Reporting

Filing fraud reports requires absolute precision to avoid false positives. Mastra AI lets you enforce human-in-the-loop validation before your MCP agent executes sensitive tools like `submit_fraud_report`. Your agent can compile the fraud data, but the workflow stops for a manual approval click before hitting the Mastercard database. This setup ensures your team remains in control of critical operations. The agent uses `bin_lookup_post` to gather card metadata, formats the draft report, and waits for a manager's sign-off. Once approved, the workflow resumes and submits the verified payload to the network.

Automated Merchant Auditing and Classification

Clean up messy merchant data feeds without writing custom parser scripts. Your Mastra AI agent can take unstructured transaction logs and run them through `search_merchants` and `get_merchant` to find exact business matches. The workflow then maps the raw names to official Mastercard business profiles. To make reporting even cleaner, your agent uses `merchant_category_codes` and `merchant_industry_codes` to categorize each business. This lets you build background workers that automatically classify corporate spending and flag outliers based on industry codes.

Setup guide

Set up Mastercard 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Mastercard tools become native Mastra tools.

  4. 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: "mastercard-mcp-client",
  servers: {
    "mastercard-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mastercard. 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 Mastercard MCP in Mastra AI

You initialize the server inside your Mastra AI configuration using the standard HTTP transport URL. Once registered, you can spread the tools directly into your agent's tool list or call them inside workflow steps.
Yes, Mastra AI features a built-in workflow engine that manages API rate limits during heavy merchant searches. If `search_places` or `nearby_locations` hits a limit, the system pauses and retries based on your backoff settings.
You can use Mastra AI's `requireToolApproval` flag on the `submit_fraud_report` tool. This pauses the agent's execution and sends a notification to your dashboard, requiring a physical click before the report is sent.
You should use `search_places_by_address` when you have raw text addresses. The tool geocodes the address internally, allowing your agent to query nearby merchant places and get coordinates without needing external mapping APIs.
This MCP Server operates within an isolated V8 sandbox that processes GPS coordinates and address strings in memory. Mastra AI never stores these location details, ensuring that sensitive physical address data from tools like `get_place_details` remains transient and secure.

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