pulsemcp verified Safe content atomic mcp-remote

3D Asset Processing

A 3D asset processing MCP server that provides analysis, validation, and optimization tools for glTF/GLB 3D models through integration with gltf-pipeline and gltf-transform libraries. The implementation offers four main tools: model analysis for detailed geometry and material statistics, validation using the official gltf-validator with compatibility checks across platforms, basic processing via gltf-pipeline for format conversion and simple compression, and advanced processing through gltf-transform for Meshopt/Draco compression, texture optimization, and geometry simplification. Built with TypeScript and featuring smart caching, temporary file management, and support for local files, URLs, and base64 data inputs, it's useful for 3D content pipelines, asset optimization workflows, and ensuring model compatibility across web, mobile, and game engine platforms.

Cognium trust score

72%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/geolibra/3d-asset-processing-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve 3D Asset Processing from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"