How to Use the Fizzpa MCP in Mastra AI

Q: Can I use Fizzpa tools for human-in-the-loop tasks in Mastra AI?

Yes. Enable requireToolApproval for sensitive operations. The agent pauses until you confirm the order action manually.

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Connect Fizzpa MCP to Mastra AI

Create your Vinkius account to connect Fizzpa 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 Fizzpa with Mastra AI

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Perplexity

Automated Order Resolution for Mastra AI

Program complex logic for failed transactions. Use `cancel_order` and `update_order_info` to build recovery branches in your Mastra agent. Define clear rules for when to intervene. The agent can evaluate order status using `get_order_details` and decide the next step automatically.

Intelligent Inventory Routing

Manage stock across multiple locations. Your agents can query `list_warehouse_locations` and `list_inventory_levels` to determine the best fulfillment source. Branch your workflow based on these results. If stock is low at one site, the agent immediately checks another, minimizing manual oversight.

Secure Webhook Monitoring with Fizzpa

Keep an eye on system events. Use `list_configured_webhooks` to ensure your agent is listening to the right events from the platform. Validate your setup before deploying to production. This prevents missed notifications for new orders or inventory alerts.

Setup guide

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

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

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

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Why Choose Vinkius

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Common questions about Fizzpa MCP in Mastra AI

You configure retry policies directly in your workflow definition. If a tool call like `create_new_order` fails, the framework handles the exponential backoff.

Yes. Enable `requireToolApproval` for sensitive operations. The agent pauses until you confirm the order action manually.

Absolutely. You use the output of any tool as a condition for your workflow. If `list_inventory_levels` returns zero, the agent routes to an out-of-stock handler.

You package your agent and the MCP client into a single deployment unit. It runs on any cloud provider that supports your containerized workflow.

All traffic is encrypted and scoped to your specific API key. No persistent storage of your order history occurs outside your controlled environment.

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