MCP server
by geolibra
Convert pictures into 3D models or STEP files to STL. Optimize, compress, and validate 3D assets for web, mobile, and ga
Analyzes, validates, and optimizes 3D glTF/GLB models for web and game engines. Provides compression, format conversion, and geometry processing tools.
3D Asset Processing is a community-built MCP server published by geolibra that provides AI assistants with tools and capabilities via the Model Context Protocol. Convert pictures into 3D models or STEP files to STL. Optimize, compress, and validate 3D assets for web, mobile, and ga It is categorized under developer tools, design. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.
You can install 3D Asset Processing in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
3D Asset Processing is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
3D Asset Processing is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated 3D Asset Processing against two servers with overlapping tools; this profile had the clearer scope statement.
3D Asset Processing has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, 3D Asset Processing benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated 3D Asset Processing against two servers with overlapping tools; this profile had the clearer scope statement.
3D Asset Processing is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
3D Asset Processing has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, 3D Asset Processing benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
3D Asset Processing has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated 3D Asset Processing against two servers with overlapping tools; this profile had the clearer scope statement.
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A comprehensive MCP server for processing, validating, optimizing, and analyzing 3D models with glTF/GLB support.
Add to your MCP client configuration:
{
"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.
analyze_model: Analyze 3D models and provide detailed statisticsvalidate_model: Validate 3D models for compliance and compatibilitygltf-pipeline-executor: Basic glTF operations (conversion, format upgrade, simple compression)gltf-transform-executor: Advanced glTF processing (Meshopt/Draco compression, texture optimization, geometry processing)# 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"
]
}
npx @modelcontextprotocol/inspector
MIT
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.