How to Use the Hyperswitch MCP in Mastra AI

Build resilient payment workflows in Mastra AI with automated retries and conditional logic for complex transaction flows.

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Connect Hyperswitch MCP to Mastra AI

Create your Vinkius account to connect Hyperswitch 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 Hyperswitch with Mastra AI

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Claude

Perplexity

Branching payment logic

Define workflows that react when `get_payment` returns a failure state. You can route the agent to try a secondary processor or flag the transaction for human review. This moves your logic away from static scripts. You build dynamic decision trees that handle edge cases without manual intervention.

Automated dispute resolution

Chain `list_disputes` into your agent's reasoning loop. If the agent detects a high-risk dispute, it triggers an escalation workflow immediately. This keeps your finance operations moving. You define the rules once and let the framework handle the execution path.

Reliable payout monitoring

Set your agents to poll `list_payouts` at specific intervals. If a payout stalls, the server pushes an alert to your admin channel via the workflow engine. This removes the need for custom cron jobs. Your agent manages the state and keeps your records synchronized with the API.

Setup guide

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

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

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

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Common questions about Hyperswitch MCP in Mastra AI

You install the MCP client package and add the server URL to your agent configuration. The framework then exposes all 10 tools as available actions.

Yes, use the requireToolApproval setting. This forces the agent to pause before calling `get_payout` or any other sensitive operation.

You can wrap your tool calls in a retry policy. If the API returns a transient error, the agent will attempt the request again automatically.

You inject your endpoint token as an environment variable. The server reads this at runtime to authenticate every request made by your agent.

The MCP server operates in a sandbox that isolates your transaction records. Your sensitive payment data never persists in the agent memory beyond the current execution scope.

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