How to Use the NachoNacho MCP in Mastra AI

Q: How do I add NachoNacho MCP Server tools to my Mastra AI agent?

Initialize the MCPClient with your server URL. Call listTools() and spread the results into your agent's tool array. The framework handles the rest.

Q: How does Mastra AI handle human approval for NachoNacho card limits?

You set requireToolApproval: true for the updatecard tool. The agent pauses execution, alerts a human reviewer, and waits for explicit authorization before changing the limit.

Automate complex SaaS procurement workflows and card management with Mastra AI and conditional logic.

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Connect NachoNacho MCP to Mastra AI

Create your Vinkius account to connect NachoNacho 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 NachoNacho with Mastra AI

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Claude

Perplexity

Build Resilient Payment Workflows

If `create_card` hits a rate limit, Mastra AI handles the failure gracefully with built-in exponential backoff. Your workflow retries the request automatically until the virtual card is successfully provisioned. You can build conditional branches for edge cases. If a payment fails, the agent checks `check_nachonacho_status`. If the API is up, it attempts a retry. If it stays down, the workflow alerts an admin and halts the process.

NachoNacho MCP Server Auto-Discovery

Your client auto-detects tools like `get_subscription` the second you connect the server. Setup takes exactly one command. You install `@mastra/mcp` and instantiate the client with your endpoint. Mastra detects the transport layer and calls `listTools` to pull in every available operation. You spread those tools directly into your agent's definition. The framework maps MCP operations into native functions ready for execution. No manual type mapping required.

Human-in-the-Loop Spend Control

Mastra lets you use the `requireToolApproval` flag for sensitive operations like `update_card` to prevent agents from issuing unlimited credit. The workflow pauses and waits for a human to sign off. The agent can still run read-only tools like `list_cards` independently to gather context. It compiles the spend report, flags anomalies, and only asks for permission when it actually needs to move money.

Setup guide

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

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

const result = await agent.generate(
  "List recent NachoNacho 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 NachoNacho. 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 NachoNacho MCP in Mastra AI

Initialize the MCPClient with your server URL. Call `listTools()` and spread the results into your agent's tool array. The framework handles the rest.

Yes. The built-in workflow engine supports automatic retries with exponential backoff. If `get_transaction` times out, Mastra tries again based on your configured limits.

You set `requireToolApproval: true` for the `update_card` tool. The agent pauses execution, alerts a human reviewer, and waits for explicit authorization before changing the limit.

It auto-detects the transport layer. Whether your endpoint uses Server-Sent Events or Streamable HTTP, the client connects and begins routing requests immediately.

The MCP Server operates inside a zero-trust, ephemeral V8 isolate. Mastra AI requests your vendor pricing and active subscriptions, the tool fires, and the sandbox is destroyed. No persistent storage touches your financial data.

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