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Meshy (3D AI) MCP Server for Mastra AIGive Mastra AI instant access to 17 tools to Analyze Printability, Create Animation, Create Image To 3d, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Meshy (3D AI) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Meshy (3D AI) MCP Server for Mastra AI is a standout in the Design Creative category — giving your AI agent 17 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
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: {
      "meshy-3d-ai": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Meshy (3D AI) Agent",
    instructions:
      "You help users interact with Meshy (3D AI) " +
      "using 17 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Meshy (3D AI)?"
  );
  console.log(result.text);
}

main();
Meshy (3D AI)
Fully ManagedVinkius Servers
60%Token savings
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 Meshy (3D AI) MCP Server

Connect Meshy to your AI agent to bridge the gap between 2D concepts and 3D reality. This server allows you to generate, refine, and optimize professional-grade 3D meshes using industry-leading AI models.

Mastra's agent abstraction provides a clean separation between LLM logic and Meshy (3D AI) tool infrastructure. Connect 17 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

  • Text to 3D Generation — Create 3D previews from simple text prompts and refine them into fully textured models with PBR maps.
  • Image to 3D Conversion — Turn single or multiple reference images (up to 4 angles) into detailed 3D objects automatically.
  • Advanced Retexturing — Apply entirely new styles to existing 3D models using text or image guidance while maintaining geometry.
  • Mesh Optimization — Use the remeshing tools to adjust topology (triangles or quads) and target specific polycounts for games or web apps.
  • Asset Management — List, retrieve, and manage your generation tasks and 3D assets through a unified interface.

The Meshy (3D AI) MCP Server exposes 17 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 17 Meshy (3D AI) tools available for Mastra AI

When Mastra AI connects to Meshy (3D AI) through Vinkius, your AI agent gets direct access to every tool listed below — spanning 3d-modeling, generative-ai, text-to-3d, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

analyze

Analyze printability on Meshy (3D AI)

Analyze 3D Printability

create

Create animation on Meshy (3D AI)

Create an Animation task

create

Create image to 3d on Meshy (3D AI)

Create an Image to 3D task

create

Create image to image on Meshy (3D AI)

Create Image to Image task

create

Create multi color print on Meshy (3D AI)

Create Multi-Color Print

create

Create multi image to 3d on Meshy (3D AI)

Create a Multi-Image to 3D task

create

Create remesh on Meshy (3D AI)

Create a Remesh task

create

Create retexture on Meshy (3D AI)

Create a Retexture task

create

Create rigging on Meshy (3D AI)

Create a Rigging task

create

Create text to 3d preview on Meshy (3D AI)

This is the first step in the Text to 3D workflow. Create a Text to 3D preview task

create

Create text to 3d refine on Meshy (3D AI)

This is the second step in the Text to 3D workflow. Create a Text to 3D refine task

create

Create text to image on Meshy (3D AI)

Create Text to Image task

delete

Delete text to 3d task on Meshy (3D AI)

Delete a Text to 3D task

get

Get balance on Meshy (3D AI)

Get account balance

get

Get text to 3d task on Meshy (3D AI)

Get a Text to 3D task by ID

list

List text to 3d tasks on Meshy (3D AI)

List Text to 3D tasks

repair

Repair printability on Meshy (3D AI)

Repair 3D Printability

Connect Meshy (3D AI) to Mastra AI via MCP

Follow these steps to wire Meshy (3D AI) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 17 tools from Meshy (3D AI) via MCP

Why Use Mastra AI with the Meshy (3D AI) MCP Server

Mastra AI provides unique advantages when paired with Meshy (3D AI) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Meshy (3D AI) 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 Meshy (3D AI) 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

Meshy (3D AI) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Meshy (3D AI) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Meshy (3D AI), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Meshy (3D AI) 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 Meshy (3D AI) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Meshy (3D AI) tools alongside other MCP servers

Example Prompts for Meshy (3D AI) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Meshy (3D AI) immediately.

01

"Create a 3D preview of a futuristic cyberpunk motorcycle."

02

"Generate a 3D model from this image: https://example.com/character.png"

03

"List my recent 3D generation tasks."

Troubleshooting Meshy (3D AI) MCP Server with Mastra AI

Common issues when connecting Meshy (3D AI) to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Meshy (3D AI) + Mastra AI FAQ

Common questions about integrating Meshy (3D AI) 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.

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