3D Asset Processing

Community

geolibra

MCP for 3D Asset Processing

Publisher	geolibra
Repository	`3d-asset-processing-mcp`
Language	TypeScript
Forks	1
Stars	0
Available tools	4
Transport type	stdio
Categories	Developer Tools Design
License	MIT
Links	GitHub

Connect tools to AI workflows
3D Asset Processing exposes MCP capabilities that can be used by compatible AI clients and agents.
4 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
Open source signals
0 stars and 1 forks from the linked repository.

3D Asset Processing MCP

A comprehensive MCP server for processing, validating, optimizing, and analyzing 3D models with glTF/GLB support.

Features

Analysis: Get detailed model statistics including geometry, materials, animations, and performance metrics
Validation: Ensure 3D models meet standards using built-in checks
Basic Processing: Convert between glTF/GLB formats using gltf-pipeline
Advanced Processing: Apply Meshopt/Draco compression, texture optimization, and geometry processing using gltf-transform

Installation

Add to your MCP client configuration:

json
{
  "mcpServers": {
    "3d-asset-processing-mcp": {
      "command": "npx",
      "args": ["-y", "3d-asset-processing-mcp"]
    }
  }
}

All dependencies (gltf-pipeline, gltf-transform) are included - no additional setup required.

Available Tools

analyze_model: Analyze 3D models and provide detailed statistics
validate_model: Validate 3D models for compliance and compatibility
gltf-pipeline-executor: Basic glTF operations (conversion, format upgrade, simple compression)
gltf-transform-executor: Advanced glTF processing (Meshopt/Draco compression, texture optimization, geometry processing)

Development

bash
# Clone the repository
git clone git@github.com:GeoLibra/3d-asset-processing-mcp.git
cd 3d-asset-processing-mcp

# Install dependencies
npm install

# Build the project
npm run build

# debug mcp
"3d-asset-processing-mcp": {
  "command": "node",
  "args": [
    "/Users/hgis/myproject/3d-asset-processing-mcp/dist/server.js"
  ]
}

debug mcp

bash
npx @modelcontextprotocol/inspector

Debug image

License

MIT

Installation

TypingMind

Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "3d-asset-processing-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "3d-asset-processing-mcp@0.0.1-beta.5"
      ]
    }
  }
}

Available Tools

analyze_model
Analyze a 3D model and provide detailed statistics and recommendations
validate_model
Validate a 3D model for compliance and compatibility
gltf-pipeline-executor
Execute gltf-pipeline CLI for BASIC glTF operations: glTF↔GLB conversion, embed/separate resources, glTF 1.0→2.0 upgrade, basic Draco compression, cleanup unused elements. Limited to basic file format operations and simple compression.
gltf-transform-executor
Execute gltf-transform CLI for ADVANCED glTF processing: Meshopt compression, Draco compression, texture compression (WebP/AVIF/JPEG/PNG), KTX2+Basis compression (ETC1S/UASTC), geometry optimization (quantize/weld/simplify/tangents), scene optimization (center/flatten/join), material conversion (metalrough/unlit), animation optimization (resample). Supports multi-step processing for complex operations.

Use 3D Asset Processing MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once 3D Asset Processing is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

Open TypingMind in your browser.
Click the Settings icon.
Go to Advanced Settings.
Open the Model Context Protocol section.
Click Setup Connector and choose This Device.

TypingMind MCP connector setup screen with This Device selected

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

Copy the setup command shown by TypingMind.
Open Terminal on macOS or Windows Terminal on Windows.
Paste and run the command.
Approve the package install if Terminal asks you to proceed.
Keep the Terminal window running while using MCP tools.

Add 3D Asset Processing as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

Wait until the connector status shows Ready.
Click Edit Servers.
Paste the 3D Asset Processing MCP server configuration.
Save the server list.
Refresh if you want to confirm the connector is still ready.

TypingMind MCP settings showing active server and Edit Servers button

Use it across models

Save the server list, open Plugins, enable the 3D Asset Processing MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

Open the Plugins page in TypingMind.
Enable the 3D Asset Processing MCP tools.
Start a chat and choose the AI model you want to use.
Use the MCP tools in chat or assign them to an AI agent.
Switch to another AI model whenever needed without reconnecting MCP.

TypingMind chat using enabled MCP tools with a selected AI model

Frequently asked questions

What is the 3D Asset Processing MCP server used for?

3D Asset Processing is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use 3D Asset Processing MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use 3D Asset Processing with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use 3D Asset Processing MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With 3D Asset Processing connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect 3D Asset Processing MCP to TypingMind?

3D Asset Processing runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does 3D Asset Processing MCP provide in TypingMind?

3D Asset Processing exposes 4 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use 3D Asset Processing MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If 3D Asset Processing requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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View details

3D Asset Processing MCP

Features

Installation

Available Tools

Development

debug mcp

License

Installation

Available Tools

Use 3D Asset Processing MCP with multiple AI models

Setup guide to use the local connector

Open the MCP settings

Run the connector command

Add 3D Asset Processing as a server

Use it across models

Frequently asked questions

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