How to Use the Meshy (3D AI) MCP in Windsurf

Q: How do I fix model topology using Meshy (3D AI) in Windsurf?

Ask Cascade to clean up a dense mesh. It will call createremesh to reduce vertex count and optimize the geometry for your game engine.

Generate and refine game-ready 3D assets in Windsurf using Cascade to chain text-to-3D and texturing workflows autonomously.

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Connect Meshy (3D AI) MCP to Windsurf

Create your Vinkius account to connect Meshy (3D AI) to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Meshy (3D AI) with Windsurf

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ChatGPT

Claude

Perplexity

Autonomously chain text-to-3D tasks in Windsurf

Cascade doesn't make you prompt every single step of your modeling pipeline. Connect this MCP Server to let Cascade kick off `create_text_to_3d_preview` to get a rough draft. It monitors the asset progress without asking you for permission at every turn. Once the draft looks solid, your agent automatically triggers `create_text_to_3d_refine` to bake in high-fidelity details. It manages your credits using `get_balance` so you don't run out of juice mid-generation.

Convert flat concept art into textured meshes

Drop an image into your workspace and let Cascade handle the rest. Your agent grabs the file path and fires off `create_image_to_3d` to build a clean mesh directly from your source illustration. If the output needs a fresh coat of paint, Cascade chains a `create_retexture` call immediately after. You get a textured model ready for your scene without manual UV unwrapping or manual map baking.

Prepare assets for game engines with auto-rigging

Stop wasting hours on manual skin weighting and joint placement. This MCP Server lets Cascade take your generated character and run `create_rigging` to prepare it for animation. It can also run `create_remesh` to clean up the topology, ensuring your model runs smoothly in real-time engines. Your agent handles the export pipeline so you can drop the FBX straight into your project.

Setup guide

Set up Meshy (3D AI) MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Meshy (3D AI) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Meshy (3D AI) payment history." If connected, Cascade will call the Meshy (3D AI) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

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Common questions about Meshy (3D AI) MCP in Windsurf

Cascade uses this MCP Server to run multi-step 3D generation pipelines autonomously. You give it a high-level prompt, and Cascade handles the transition from `create_text_to_3d_preview` to `create_text_to_3d_refine` on its own.

Yes. You can ask your agent to check your remaining balance, and it will run `get_balance` to show your current credit count in the chat panel.

Ask Cascade to clean up a dense mesh. It will call `create_remesh` to reduce vertex count and optimize the geometry for your game engine.

Yes. If you have several orthographic views of a character, Cascade passes them to `create_multi_image_to_3d` to generate a highly accurate model.

Your prompt text and generated OBJ/FBX files are routed securely through Vinkius's ephemeral sandbox directly to the Meshy API. No asset data is cached or stored permanently on the Vinkius platform.

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