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Vinkius

Zakeke MCP Server for Mastra AI 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Zakeke through the 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: {
      "zakeke": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Zakeke Agent",
    instructions:
      "You help users interact with Zakeke " +
      "using 9 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Zakeke
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Zakeke MCP Server

Connect your Zakeke account to any AI agent to streamline your visual product customization and 3D configuration workflows. This MCP server enables your agent to interact with customer designs, 3D compositions, and specialized e-commerce orders directly.

Mastra's agent abstraction provides a clean separation between LLM logic and Zakeke tool infrastructure. Connect 9 tools through the 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

  • Design Oversight — List and retrieve detailed configurations for visual product designs created by your customers
  • 3D Configuration Management — Access pricing and attribute data for complex 3D product compositions
  • Order Synchronization — Query and monitor orders containing customized products to ensure smooth fulfillment
  • Print-Ready Access — Retrieve ZIP files of all output files for production-ready designs instantly
  • Cart Integration — Get necessary technical data to add 3D configured products to any shopping cart

The Zakeke MCP Server exposes 9 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 Zakeke to Mastra AI via MCP

Follow these steps to integrate the Zakeke 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 9 tools from Zakeke via MCP

Why Use Mastra AI with the Zakeke MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Zakeke 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 Zakeke 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

Zakeke + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Zakeke 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 Zakeke on a cron and store results in your database automatically

04

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

Zakeke MCP Tools for Mastra AI (9)

These 9 tools become available when you connect Zakeke to Mastra AI via MCP:

01

get_cart_info

Get cart information for a 3D configuration

02

get_composition_details

Get details for a specific 3D configuration

03

get_design_details

Get details for a specific design

04

get_design_print_files

Get ZIP file of print-ready outputs for a design

05

get_order_details

Get details for a specific order

06

list_compositions

List all 3D product configurations

07

list_designs

List all customer-created designs

08

list_orders

List all customized product orders

09

list_products

List all products available for customization

Example Prompts for Zakeke in Mastra AI

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

01

"Show me all visual designs created by customers today in Zakeke."

02

"List my customized product orders from Zakeke."

03

"Get the print-ready ZIP for design ID 'DESIGN_12345'."

Troubleshooting Zakeke MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Zakeke + Mastra AI FAQ

Common questions about integrating Zakeke 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 Zakeke to Mastra AI

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.