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

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Meshy (3D AI) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Meshy (3D AI) MCP Server for Vercel AI SDK 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

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Meshy (3D AI), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Meshy (3D AI)
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* 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.

The Vercel AI SDK gives every Meshy (3D AI) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 17 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 17 tools from Meshy (3D AI) and passes them to the LLM

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

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Meshy (3D AI) integration everywhere

03

Built-in streaming UI primitives let you display Meshy (3D AI) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Meshy (3D AI) + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Meshy (3D AI) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Meshy (3D AI) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Meshy (3D AI) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Meshy (3D AI) through natural language queries

Example Prompts for Meshy (3D AI) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Meshy (3D AI) + Vercel AI SDK FAQ

Common questions about integrating Meshy (3D AI) MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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