Vercel AI SDKSDK

Meshy (3D AI) MCP Server

Bring 3d Modeling
to Vercel AI SDK

Name: Meshy (3D AI) MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Meshy (3D AI) to Vercel AI SDK and start using 17 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Analyze PrintabilityCreate AnimationCreate Image To 3dCreate Image To ImageCreate Multi Color PrintCreate Multi Image To 3dCreate RemeshCreate RetextureCreate RiggingCreate Text To 3d PreviewCreate Text To 3d RefineCreate Text To ImageDelete Text To 3d TaskGet BalanceGet Text To 3d TaskList Text To 3d TasksRepair Printability

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Meshy API Key
Start creating 3D assets in Claude, Cursor, or any MCP-compatible client

Who is this for?

Game Developers — Generate base meshes and textures directly within your development environment to speed up prototyping.
3D Artists — Automate the tedious parts of the workflow like initial block-outs, UV mapping, and base texturing.
Creative Agencies — Rapidly visualize 3D concepts for clients starting from just a text description or a sketch.

Built-in capabilities (17)

analyze_printability

Analyze 3D Printability

create_animation

Create an Animation task

create_image_to_3d

Create an Image to 3D task

create_image_to_image

Create Image to Image task

create_multi_color_print

Create Multi-Color Print

create_multi_image_to_3d

Create a Multi-Image to 3D task

create_remesh

Create a Remesh task

create_retexture

Create a Retexture task

create_rigging

Create a Rigging task

create_text_to_3d_preview

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

create_text_to_3d_refine

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

create_text_to_image

Create Text to Image task

delete_text_to_3d_task

Delete a Text to 3D task

get_balance

Get account balance

get_text_to_3d_task

Get a Text to 3D task by ID

list_text_to_3d_tasks

List Text to 3D tasks

repair_printability

Repair 3D Printability

Why Vercel AI SDK?

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.

—
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
—
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Meshy (3D AI) integration everywhere
—
Built-in streaming UI primitives let you display Meshy (3D AI) tool results progressively in React, Svelte, or Vue components
—
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Meshy (3D AI) in Vercel AI SDK

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Meshy (3D AI) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Meshy (3D AI) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Vercel AI SDK →

Enterprise Security

Why teams choose Vinkius for Meshy (3D AI) in Vercel AI SDK

The Meshy (3D AI) 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. All 17 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Meshy (3D AI) details →

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

The Vinkius Advantage

How Vinkius secures
Meshy (3D AI) for Vercel AI SDK

Every tool call from Vercel AI SDK to the Meshy (3D AI) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How do I add high-quality textures to a 3D model I just generated from text?

After creating a preview with create_text_to_3d_preview, use the create_text_to_3d_refine tool with the resulting task ID. You can enable PBR and HD textures to get professional results.

Can I use multiple photos of an object to create a better 3D model?

Yes! Use the create_multi_image_to_3d tool and provide an array of up to 4 image URLs showing different angles of the object for much higher accuracy.

Is it possible to reduce the polygon count for game engine optimization?

Absolutely. Use the create_remesh tool on any existing model ID. You can specify the target_polycount and choose between triangle or quad topology.

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.