What file formats are supported?
glTF and GLB (both binary glTF and standard glTF) are supported.
@GeoLibra
基本情報
A comprehensive MCP server for processing, validating, optimizing, and analyzing 3D models with glTF/GLB support.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"3d-asset-processing-mcp": {
"command": "npx",
"args": [
"-y",
"3d-asset-processing-mcp"
]
}
}
}Analyze a 3D model and provide detailed statistics and recommendations
Validate a 3D model for compliance and compatibility
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.
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.
A comprehensive MCP server for processing, validating, optimizing, and analyzing 3D models with glTF/GLB support. It provides both basic and advanced operations through integrated tools, intended for developers working with 3D assets in AI or automation workflows.
Add the server to your MCP client configuration using the npx command npx -y 3d-asset-processing-mcp@0.0.1-beta.5. All dependencies (gltf-pipeline, gltf-transform) are bundled, so no additional setup is required. The server exposes four tools: analyze_model, validate_model, gltf-pipeline-executor, and gltf-transform-executor.
glTF and GLB (both binary glTF and standard glTF) are supported.
No. All processing libraries (gltf-pipeline, gltf-transform) are included with the package.
Four tools: `analyze_model` (analysis), `validate_model` (validation), `gltf-pipeline-executor` (basic processing), and `gltf-transform-executor` (advanced processing).
Clone the repository, run `npm install` and `npm run build`, then point the MCP client to `dist/server.js` using the `node` command.
Use `npx @modelcontextprotocol/inspector` alongside the server configuration.

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