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GrazeCart MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GrazeCart through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "grazecart": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "GrazeCart Agent",
    instructions:
      "You help users interact with GrazeCart " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with GrazeCart?"
  );
  console.log(result.text);
}

main();
GrazeCart
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 GrazeCart MCP Server

Connect your GrazeCart ecommerce account to any AI agent and take control of your perishable food business operations through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and GrazeCart 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 Management — List recent orders and resolve specific order details including status and totals natively
  • Fulfillment Operations — Update order statuses and trigger payment charges for pending orders flawlessly
  • Inventory Control — Browse your product catalog and update inventory counts for variants to prevent overselling synchronously
  • Customer Oversight — Search and retrieve customer profiles, including their order history and contact information natively
  • Logistics & Pickup — List active pickup locations and delivery zones to assist with logistics planning securely

The GrazeCart 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.

How to Connect GrazeCart to Mastra AI via MCP

Follow these steps to integrate the GrazeCart MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from GrazeCart via MCP

Why Use Mastra AI with the GrazeCart MCP Server

Mastra AI provides unique advantages when paired with GrazeCart through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GrazeCart without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every GrazeCart tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

GrazeCart + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the GrazeCart MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query GrazeCart, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed GrazeCart as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query GrazeCart on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using GrazeCart tools alongside other MCP servers

GrazeCart MCP Tools for Mastra AI (12)

These 12 tools become available when you connect GrazeCart to Mastra AI via MCP:

01

charge_order

Trigger a payment charge for an order

02

create_customer

Create a new customer profile

03

get_customer

Get profile details for a specific customer

04

get_order

Get details for a specific order

05

get_product

Get details for a specific product

06

list_customers

List all customers registered in the store

07

list_delivery_zones

List configured delivery zones

08

list_orders

List all orders from the GrazeCart store

09

list_pickup_locations

List all active pickup locations for the store

10

list_products

List all products in the catalog

11

update_inventory

Update inventory counts for a product

12

update_order

Update an existing order

Example Prompts for GrazeCart in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with GrazeCart immediately.

01

"List my recent orders in GrazeCart"

02

"Check the inventory for 'Grass-fed Ribeye'"

03

"Process the payment for order #1001"

Troubleshooting GrazeCart MCP Server with Mastra AI

Common issues when connecting GrazeCart to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

GrazeCart + Mastra AI FAQ

Common questions about integrating GrazeCart MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect GrazeCart to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.