Fizzpa MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Cancel Order, Check Api Health, Create New Order, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Fizzpa through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Fizzpa app connector for Mastra AI is a standout in the Ecommerce category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"fizzpa": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Fizzpa Agent",
instructions:
"You help users interact with Fizzpa " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Fizzpa?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Fizzpa MCP Server
Connect your Fizzpa account to any AI agent and take full control of your e-commerce fulfillment, order management, and warehouse workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Fizzpa tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Order Orchestration — List and manage customer orders programmatically, including retrieving detailed line items and updating fulfillment statuses
- Label & Logistics — Programmatically generate shipping labels and retrieve direct print URLs (PDF/Image) to streamline your shipping operations
- Inventory Intelligence — Monitor real-time stock levels across your product catalog and retrieve granular warehouse location metadata
- Catalog Oversight — Access complete SKU and product variant details directly through your agent to maintain high-fidelity inventory data
- Operational Monitoring — Check API connectivity and manage outbound webhooks for real-time tracking of order and inventory events
The Fizzpa MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Fizzpa tools available for Mastra AI
When Mastra AI connects to Fizzpa through Vinkius, your AI agent gets direct access to every tool listed below — spanning fulfillment, logistics, warehouse-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Delete/Cancel an order
Verify Fizzpa API connectivity
Requires customer name and line items. Add a new order to the system
Get authenticated account info
Get details for a specific order
Generate shipping label for an order
List all products in the catalog
List active webhooks
Supports filtering by status or date. List all customer orders
List stock levels for items
List warehouse storage locations
Modify an existing order
Connect Fizzpa to Mastra AI via MCP
Follow these steps to wire Fizzpa into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Fizzpa MCP Server
Mastra AI provides unique advantages when paired with Fizzpa through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Fizzpa without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Fizzpa tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Fizzpa + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Fizzpa MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Fizzpa, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Fizzpa as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Fizzpa on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Fizzpa tools alongside other MCP servers
Example Prompts for Fizzpa in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Fizzpa immediately.
"List all pending orders in Fizzpa."
"Get the shipping label for order ID 'ord_123'."
"What are the stock levels for SKU 'SHIRT-BLUE-L'?"
Troubleshooting Fizzpa MCP Server with Mastra AI
Common issues when connecting Fizzpa to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFizzpa + Mastra AI FAQ
Common questions about integrating Fizzpa MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.