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How to Use the MarketMan MCP in Mastra AI

Automate restaurant procurement with Mastra AI. Build resilient workflows that sync purchase orders and track waste without manual data entry.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect MarketMan MCP to Mastra AI

Create your Vinkius account to connect MarketMan 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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Automate vendor ordering loops

The `list_purchase_orders` tool feeds your Mastra AI workflow with historical order data. You set up an agent to check what the kitchen bought last Tuesday. If the delivery volume looks short, the workflow branches automatically to alert the prep team. Mastra handles API hiccups natively. If the server drops the connection while fetching the records, the framework applies exponential backoff and tries again. You get reliable data pulls even when the restaurant internet acts up.

Trigger alerts on high waste

The `get_waste_events` tool pulls spoilage logs into your automated sequence. Your Mastra AI agent monitors these numbers daily. When the kitchen throws away too much protein, the system fires off an escalation sequence to the executive chef. You can require human approval before the agent takes action. Using the requireToolApproval flag, the workflow pauses. A manager reviews the waste report, clicks approve, and the system continues its routine.

MarketMan MCP Server count sheets

The `get_count_sheets` tool retrieves active inventory checklists for your agents. Mastra AI reads the sheet and cross-references it with `list_inventory` to spot discrepancies. This setup replaces manual end-of-month audits. The agent pulls the theoretical stock, compares it to the actual count sheet, and flags the variance. It is a straight calculation loop that runs in the background.

Setup guide

Set up MarketMan 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. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All MarketMan tools become native Mastra tools.

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

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

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

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

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Real-time monitoring

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

Built-in savings

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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 MarketMan MCP in Mastra AI

Run npm install @mastra/mcp@latest. Initialize the MCPClient with your server URL, call listTools, and spread them into your agent's toolset. Deploy to your cloud provider with a single command.
Yes. The framework includes built-in retry logic. If the inventory endpoint fails to respond, it waits and attempts the connection again based on your backoff settings.
Build a conditional branch. If the agent returns an empty list for a specific supplier, route the workflow to notify the accounting team instead of failing the entire process.
It does. You can pause the workflow before it executes a high-stakes calculation. A manager verifies the data, and the run resumes.
The system only accesses supplier contact details and order histories through the vendor endpoint. Mastra AI executes these queries in your isolated cloud environment, keeping your supplier agreements out of public training sets.

Start using the MarketMan MCP today

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