How to Use the Goflow MCP in Mastra AI

Build resilient e-commerce workflows with Goflow and Mastra AI.

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Connect Goflow MCP to Mastra AI

Create your Vinkius account to connect Goflow 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 Goflow with Mastra AI

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Perplexity

Automated inventory management with Mastra AI

Set up conditional logic to adjust stock levels automatically. Use `update_inventory` inside your agent workflows to ensure your marketplace listings stay accurate. If a stock check fails, the workflow engine handles the retry logic for you. It prevents manual errors in your multichannel sales operations.

Complex order routing for Mastra AI agents

Chain multiple operations together to handle incoming sales. Use `list_orders` to find new transactions and `list_shipments` to provide tracking updates. Your agents act on the data without human intervention. This keeps your fulfillment process moving while you handle higher-level strategy.

Webhook-driven updates for Mastra AI

Monitor your store activity by keeping track of active events. Use `list_webhooks` to verify your connections are live and reporting correctly. This ensures your agents always respond to the latest store events. It keeps your operations proactive rather than reactive.

Setup guide

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

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

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

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Common questions about Goflow MCP in Mastra AI

Mastra AI provides the engine to run multi-step agent actions. Pairing it with Goflow gives those agents direct control over your inventory and orders.

You can define retry policies and fallback steps. If an inventory update fails, the agent can try again or alert you.

Yes, you can run the server alongside your agents. It connects easily through the standard client interface.

You choose. Use the human-in-the-loop feature to approve inventory changes before the agent hits the API.

We use a zero-trust architecture. Your store information like product SKUs is only handled by the server during authorized tool execution.

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