Meshy (3D AI) MCP. Generate game-ready assets from text or images.

Q: How do I start generating 3D models with Meshy (3D AI)?

You first initiate a preview using createtextto3dpreview. This generates the basic mesh, and you can then use createtextto3drefine to improve it further.

Q: Can Meshy (3D AI) create models from pictures?

Yes. You have two main options: use createimageto3d for a single reference photo, or use createmultiimageto3d if you have several photos taken from different angles.

Q: Does Meshy (3D AI) help with animation?

Yes, you can use the createanimation tool. This generates sequential frames for your 3D asset, turning static geometry into movement.

Q: How do I make my model ready for printing using Meshy (3D AI)?

You first run analyzeprintability to check the mesh. If issues are found, use repairprintability to fix it before proceeding with multi-color printing via createmulticolorprint.

Meshy (3D AI) connects generative artificial intelligence directly to your agent, turning simple text prompts or reference images into professional-grade, textured 3D meshes. Generate full assets, refine topology, and create animations—all without leaving your development environment. It bridges the gap between a concept sketch and a game-ready model.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Give Claude and any AI agent real-world access

Generate 3D models from text

Input a descriptive prompt to generate an initial 3D preview mesh.

Model objects from images

Upload single or multiple reference photos and convert them into structured, detailed 3D geometry.

Adjust model topology

Run remeshing tools to change the triangle structure of a mesh, targeting specific polycounts for various applications.

Change materials and styles

Apply new textures or entire visual styles to an existing 3D model using text or image guidance without losing its core shape.

Create animations

Generate sequential frames for a 3D object, turning static geometry into movement.

Ask an AI about this

Waiting for input…

AI Agent

MCP Server

What AI agents can do with Meshy (3D AI) with 17 Tools

These tools let you manage the entire 3D asset pipeline, from initial generation using text or images to final technical fixes like remeshing and animation.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Meshy (3D AI) MCP

Create Text To Image

Generates a 2D image based on a text prompt.

Delete Text To 3d Task

Removes an existing Text to 3D generation task by its ID.

Get Balance

Retrieves the current account balance for usage tracking.

Get Text To 3d Task

Fetches the status and details of a specific Text to 3D task using its unique ID.

List Text To 3d Tasks

Retrieves a list of all past or current Text to 3D generation tasks.

Repair Printability

Analyzes and repairs a model mesh, making it suitable for physical 3D printing processes.

Analyze Printability

Checks the current status of a 3D model to determine if it can be successfully printed.

Create Animation

Generates an animation sequence for a given 3D asset.

Create Image To 3d

Turns one or more reference images into a detailed, structured 3D object.

Create Image To Image

Transforms an input image while maintaining its structure and composition.

Create Multi Color Print

Prepares a model for printing that requires multiple distinct colors.

Create Multi Image To 3d

Builds a 3D model using several reference images, such as views from different angles.

Create Remesh

Adjusts the internal geometry (topology) of an existing mesh to fit new requirements.

Create Retexture

Applies entirely new materials or styles to a 3D model using text or image guidance.

Create Rigging

Creates the necessary skeletal structure for a character or object so it can be...

Create Text To 3d Preview

Initiates the first step of generating an initial 3D model from a text description.

Create Text To 3d Refine

Refines and improves the geometry and details of a preliminary 3D preview mesh.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Meshy (3D AI) MCP is compatible with Claude

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Meshy (3D AI) integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "meshy-3d-ai": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Meshy (3D AI) tools with full Vinkius guardrails applied.

Meshy (3D AI) MCP is compatible with VS Code

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"meshy-3d-ai": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on each call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Meshy (3D AI), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,200+ others, all in one place
Add new capabilities to your AI anytime you want
Connections are secured and governed automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog weekly

VINKIUS CLOUD

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

The pain of starting a new 3D asset project

Today, getting started is painful. You have an idea—maybe it's a unique weapon or a strange alien creature. The manual process means gathering reference images, finding the right modeling software, and spending hours doing initial block-outs just to get clean geometry. Then you deal with texture mapping, making sure the UV coordinates line up, all before you even start adding detail.

With this MCP, that whole phase shrinks down to a prompt. Your agent handles the technical overhead: taking your text or images and generating a preliminary, textured 3D mesh in minutes. You get a functional asset ready for refinement, not just raw data.

Meshy (3D AI) delivers fully functional assets.

The tedious steps of initial block-out and basic texturing vanish. You use tools like `create_text_to_3d_preview` to get a mesh, and then run `create_retexture` or even `create_rigging` to make it useful immediately. The process shifts from 'build' to 'refine.'

The result is an AI-generated asset that’s not just concept art; it’s geometry you can actually use in a game engine, ready for the next stage of development.

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3d-modeling

generative-ai

text-to-3d

pbr-textures

mesh-generation

asset-creation

What Meshy (3D AI) MCP does for your AI

Meshy brings high-quality 3D asset creation into your AI workflow. You no longer have to switch between dozens of specialized software programs just to get started on a new piece of concept art or geometry. Instead, you describe what you need—whether that's 'a rusted cyberpunk motorcycle' or 'three reference photos of a medieval shield'—and Meshy handles the heavy lifting.

It generates initial 3D previews from text and builds detailed models from multiple images, automatically applying PBR maps so they look realistic right out of the gate. If you need to adjust the geometry for a game engine, you can run remeshing tools to fix the topology or apply new styles using retexturing techniques while keeping the original shape.

Need to manage your work? You track all generation tasks in one spot. Integrating this MCP via Vinkius means you connect once from any AI client and immediately gain access to professional-grade 3D visualization capabilities, speeding up everything from prototyping game assets to visualizing architectural concepts.

Built · Hosted · Managed by Vinkius Meshy (3D AI) MCP - Generate 3D Assets from Text

Server ID 019e38c0-ed43-72bc-bb0a-4f2e83e60d60

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

Benefits of connecting Meshy (3D AI) MCP

Speed up prototyping. Instead of spending hours on initial block-outs, you can use create_text_to_3d_preview to generate a basic mesh in minutes, letting your agent test the concept immediately.

Overcome source material limitations. If you only have photos, don't worry about perfect angles; simply run create_multi_image_to_3d to build a full 3D object from multiple references.

Fix technical assets on the fly. Need a model with cleaner geometry for a game engine? Use the create_remesh tool to adjust the topology and hit your target polycount without starting over.

Maintain integrity while styling. You can radically change a model's look—say, from stone to chrome—using create_retexture, but the underlying structure remains intact.

Streamline complex animation. Generating movement used to require multiple artists; now you can use create_animation to bring static geometry to life through your agent.

Meshy (3D AI) MCP use cases

01 01

Conceptualizing a New Game Prop

A game developer needs a 'glowing crystal shard.' Instead of sketching it and modeling it, they ask their agent to use create_text_to_3d_preview. The resulting mesh is fast enough for immediate gameplay testing. They then run create_retexture to give it the specific glowing effect needed.

02 02

Turning Product Photos into Assets

A design team has 4 photos of a futuristic piece of furniture from different angles. They use their agent with create_multi_image_to_3d to generate a full, usable 3D model that they can then export for client visualization.

03 03

Preparing Art for Physical Prints

An artist designs an intricate mask. Before sending it to the printer, they run analyze_printability and use repair_printability. The agent flags structural weak points and fixes them, ensuring a successful physical print.

04 04

Improving Character Models

A character model was generated but has messy geometry. The 3D artist uses the agent to run create_remesh on the problematic area, adjusting the topology so it's clean enough for rigging and animation.

Meshy (3D AI) MCP tradeoffs

What to watch out for, and the recommended way to handle each one.

Assuming perfect input

Avoid

Trying to model a complex object using only one or two reference photos in traditional 3D software, which often leads to guesswork about unseen angles.

Instead

Use the create_multi_image_to_3d tool. This lets your agent build a complete mesh from multiple angle references, eliminating the need for manual guesswork.

Ignoring technical fixes

Avoid

Exporting a model that looks fine but has poor topology (too many triangles in one spot) and crashing it when importing into an engine.

Instead

After generation, always run the create_remesh tool. This adjusts the internal geometry to create clean, usable polygon counts for game engines.

Manual style changes

Avoid

Having to painstakingly re-UV map and repaint a model in external software every time you want to change its material or color palette.

Instead

Simply use the create_retexture tool. It applies entirely new styles using text prompts while preserving the original object's geometry.

Frequently asked questions about Meshy (3D AI) MCP

How do I start generating 3D models with Meshy (3D AI)? +

You first initiate a preview using create_text_to_3d_preview. This generates the basic mesh, and you can then use create_text_to_3d_refine to improve it further.

Can Meshy (3D AI) create models from pictures? +

Yes. You have two main options: use create_image_to_3d for a single reference photo, or use create_multi_image_to_3d if you have several photos taken from different angles.

What is the difference between Meshy (3D AI) and standard 3D software? +

Standard software requires manual input for every step. This MCP automates that initial pipeline, allowing your agent to handle complex tasks like remeshing or rigging with a single tool call.

Does Meshy (3D AI) help with animation? +

Yes, you can use the create_animation tool. This generates sequential frames for your 3D asset, turning static geometry into movement.

How do I make my model ready for printing using Meshy (3D AI)? +

You first run analyze_printability to check the mesh. If issues are found, use repair_printability to fix it before proceeding with multi-color printing via create_multi_color_print.

Give Claude and any AI agent real-world access

What AI agents can do with Meshy (3D AI) with 17 Tools

Create Text To Image

Generates a 2D image based on a text prompt.

Delete Text To 3d Task

Removes an existing Text to 3D generation task by its ID.

Get Balance

Retrieves the current account balance for usage tracking.

Get Text To 3d Task

Fetches the status and details of a specific Text to 3D task using its unique ID.

List Text To 3d Tasks

Retrieves a list of all past or current Text to 3D generation tasks.

Repair Printability

Analyzes and repairs a model mesh, making it suitable for physical 3D printing processes.

Analyze Printability

Checks the current status of a 3D model to determine if it can be successfully printed.

Create Animation

Generates an animation sequence for a given 3D asset.

Create Image To 3d

Turns one or more reference images into a detailed, structured 3D object.

Create Image To Image

Transforms an input image while maintaining its structure and composition.

Create Multi Color Print

Prepares a model for printing that requires multiple distinct colors.

Create Multi Image To 3d

Builds a 3D model using several reference images, such as views from different angles.

Create Remesh

Adjusts the internal geometry (topology) of an existing mesh to fit new requirements.

Create Retexture

Applies entirely new materials or styles to a 3D model using text or image guidance.

Create Rigging

Creates the necessary skeletal structure for a character or object so it can be...

Create Text To 3d Preview

Initiates the first step of generating an initial 3D model from a text description.

Create Text To 3d Refine

Refines and improves the geometry and details of a preliminary 3D preview mesh.

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

The pain of starting a new 3D asset project

Meshy (3D AI) delivers fully functional assets.

3d-modeling

generative-ai

text-to-3d

pbr-textures

mesh-generation

asset-creation

What Meshy (3D AI) MCP does for your AI