How to Use the GoFood MCP in Mastra AI

Build reliable GoFood merchant workflows with Mastra AI and automated error handling.

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Connect GoFood MCP to Mastra AI

Create your Vinkius account to connect GoFood 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 GoFood with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Agent-driven outlet management

Control multiple store locations from one central agent. You use `link_outlet` and `unlink_outlet` to register new sites into your workflow engine. Your agent checks `list_linked_outlets` before running tasks. It ensures every action hits the right location.

Complex order processing chains

Chain multiple steps together to handle high-volume sales. You combine `accept_order` with conditional logic to verify stock via `update_menu_stocks` before proceeding. If a step fails, the workflow engine triggers a retry. It keeps your operations moving without manual intervention.

Automated promo scheduling

Schedule your marketing pushes based on inventory trends. You call `create_promo` after your agent analyzes current menu performance. This MCP Server provides the tools to execute those decisions. It links your business logic to the platform.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoFood / GoBiz. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GoFood MCP in Mastra AI

You define a workflow that calls the server tools sequentially. Mastra AI handles the state management and retries for you.

You can. By setting up a trigger in your workflow, the agent runs `update_catalog` whenever your inventory database updates.

It does. You set the requireToolApproval flag on the server connection to pause execution until you click confirm for critical actions.

The framework logs every tool invocation. You can inspect the output of `cancel_order` or `accept_order` to debug any failed requests.

Data is encrypted in transit using your specific endpoint token. This MCP Server isolates your outlet credentials, ensuring no other agent can access your account details.

Use it with your favorite AI tools

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