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Style3D 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 Style3D 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: {
      "style3d": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Style3D Agent",
    instructions:
      "You help users interact with Style3D " +
      "using 9 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Style3D?"
  );
  console.log(result.text);
}

main();
Style3D
Fully ManagedVinkius Servers
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IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
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<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 Style3D MCP Server

Connect Style3D to your AI agent and manage your entire digital fashion pipeline through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Style3D tool infrastructure. Connect 9 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

  • Project Management — List and inspect 3D fashion projects with all metadata
  • Garment Browsing — Explore garment libraries, view details, and browse 3D assets
  • Fabric Database — Access the fabric library with physical simulation properties
  • Cloud Rendering — Trigger high-quality garment renders directly from the AI agent
  • Asset Management — Browse and manage 3D asset files across projects
  • Style Library — Explore saved style presets and configurations

The Style3D 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 Style3D to Mastra AI via MCP

Follow these steps to integrate the Style3D 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 Style3D via MCP

Why Use Mastra AI with the Style3D MCP Server

Mastra AI provides unique advantages when paired with Style3D through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Style3D 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 Style3D 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

Style3D + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Style3D MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Style3D, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Style3D 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 Style3D on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Style3D tools alongside other MCP servers

Style3D MCP Tools for Mastra AI (9)

These 9 tools become available when you connect Style3D to Mastra AI via MCP:

01

get_fabric

Get details of a specific fabric

02

get_garment

Get details of a specific garment

03

get_project

Get details of a specific project

04

list_assets

List assets in a project

05

list_fabrics

List available fabrics

06

list_garments

List garments in a project

07

list_projects

List all 3D design projects

08

list_styles

List available design styles

09

render_garment

Render a 3D garment visualization

Example Prompts for Style3D in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Style3D immediately.

01

"Show me all garments in the Spring Collection project."

Troubleshooting Style3D MCP Server with Mastra AI

Common issues when connecting Style3D to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Style3D + Mastra AI FAQ

Common questions about integrating Style3D 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 Style3D to Mastra AI

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