sceneview — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by sceneview · MCP Server · ★ 1.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About sceneview

SceneView 3D & AR for every platform. Build 3D and AR experiences with the UI frameworks you already know. Same concepts, same simplicity — Android, iOS, Web, Desktop, TV, Flutter, React Native. [![CI](https://img.shields.io/github/actions/workflow/status/sceneview/sceneview/ci.yml?branch=main&

3d3mfandroidarcorearkitaugmented-realitycomposefilamentfluttergltf

Quick Facts

Stars1,320
Forks244
LanguageKotlin
CategoryMCP Server
LicenseApache-2.0
Quality Score63.2748210993579/100
Open Issues70
Last Updated2026-09-19
Created2021-11-09
Platformsbrowser, codex, mcp
Est. Tokens~18k

Compatible Skills

These tools work well together with sceneview for enhanced workflows:

  • agent-skills-standard — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • Claw3D — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • modly — semantic(0.15)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • compose-skill — semantic(0.36)+complementary+rare_topics+similar_pop (52%)

sceneview alternative? Top 6 similar tools

Looking for a sceneview alternative? If you're comparing sceneview with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • GalwayBus by joreilly · ⭐ 590

    Galway Bus Kotlin Multiplatform project using Jetpack Compose and SwiftUI

  • FantasyPremierLeague by joreilly · ⭐ 603

    Fantasy Premier League Kotlin/Compose Multiplatform sample

  • compose-skill by aldefy · ⭐ 561

    Jetpack Compose Agent Skill — AI-powered coding guidance with actual androidx/androidx source code receipts. W

  • agent-skills-standard by HoangNguyen0403 · ⭐ 570

    A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI

  • compose-performance-skills by skydoves · ⭐ 472

    ⚡️ A curated library of Agent Skills focused on Jetpack Compose performance.

  • genjutsu by AThevon · ⭐ 408

    Creative coding skills for Claude Code, claude.ai and Cowork. Motion, micro-interactions and design systems ac

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Frequently Asked Questions

What is sceneview?

sceneview is AI-first 3D & AR SDK for Android (Jetpack Compose + Filament), Apple (SwiftUI + RealityKit) and the web. Opens glTF/GLB, 3MF, STL, OBJ and PLY on Android and USDZ on Apple, at real size in AR. An assi. It is categorized as a MCP Server with 1.3k GitHub stars.

What programming language is sceneview written in?

sceneview is primarily written in Kotlin. It covers topics such as 3d, 3mf, android.

How do I install or use sceneview?

You can find installation instructions and usage details in the sceneview GitHub repository at github.com/sceneview/sceneview. The project has 1.3k stars and 244 forks, indicating an active community.

What license does sceneview use?

sceneview is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to sceneview?

The top alternatives to sceneview on Agent Skills Hub include GalwayBus, FantasyPremierLeague, compose-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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