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AETumiApp/aetumi-mcp

AETumiApp/aetumi-mcp

AETumi MCP — gateway for AI coding as
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add aetumi-mcp -- npx -y aetumi-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · AETumiApp/aetumi-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 AETumiApp/aetumi-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

AETumi MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**AETumi MCP** is the developer gateway between AI coding assistants and the AETumi 3D web ecosystem.
**AETumi is an AI-native 3D web platform and digital business ecosystem** for production-ready Three.js and WebGL websites, Next.js and React components, interactive 3D scenes, AI prompts, and MCP workflows for AI coding assistants such as Claude Code, Cursor and Codex. Supported implementations can also include a Visual CMS, CRM, SEO, AI chatbot and payments to launch and operate the site.
This repository documents how AETumi fits into workflows with **Claude Code, Cursor, Codex, Three.js, WebGL, Next.js, React and React Three Fiber**.
What this enables
AETumi MCP lets an AI coding assistant discover and pull production-ready 3D web resources — components, scenes, prompts and technical examples — directly inside the build, keeping the underlying architecture visible.
**Outcome.** A developer stays in Claude Code, Cursor or Codex and brings real AETumi context into the task, instead of copying between a browser and the editor.
**Who it's for.** Front-end teams, agencies and studios building Three.js/WebGL sites who want AETumi resources available to their AI workflow.
**Install.** claude mcp add --transport http aetumi https://mcp.aetumi.app
Where to find AETumi MCP
The same server is published across the open MCP ecosystem, so it is discoverable wherever your AI tools look:
- **Smithery** — try or add it from the registry at smithery.ai/servers/aetumi/aetumi
- **Glama** — browse the server profile at glama.ai/mcp/connectors/io.github.AETumiApp/aetumi
- **MCP Official Registry** — published as io.github.AETumiApp/aetumi
- **Home** — overview and docs at aetumi.app/mcp
Tools
The server exposes ten read-only tools over Streamable HTTP (JSON-RPC 2.0), plus resources, prompts and completions.
**Catalog tools** — discover AETumi library assets:
- search_3d_web_assets — search the AETumi 3D web catalog (Three.js/WebGL heroes, 3D product viewers, shader backgrounds, scroll animations, components, sections, templates)
- get_3d_web_asset — full public detail of one asset by id
- list_3d_web_categories — asset categories and industries with counts
- recommend_3d_web_stack — given a use-case, recommend assets and a production build approach
- get_pricing — the four lifetime buy-once plans
- about_aetumi — what AETumi is and canonical links
> The four discovery tools use intent-based names so an AI assistant can pick the right one from the query. The earlier names (search_assets, get_asset, list_categories, recommend_stack) still work as hidden aliases — existing integrations do not break.
**Experience-discovery tools (v2.1)** — discover premium industry experiences from the AETumi Labs Evidence Graph:
- filter_by_industry — experiences for an industry (Beauty & Cosmetics, Automotive, Fashion, Real Estate, E-commerce, Agency & Portfolio, Food & Beverage, Travel & Hospitality, Finance & Fintech, Industrial, Music, SaaS & Startup)
- filter_by_style — experiences by visual style (Dark Cinematic, Editorial Luxury, Glass Luxury, Bright Architectural, Technical Precision, …)
- filter_by_goal — experiences by customer goal (Product Launch, Collection Launch, Property Presentation, Premium E-commerce, …)
- find_experiences — natural-language match across industry, experience type, style and goal, e.g. find_experiences("dark cinematic automotive launch")
The discovery layer resolves **industry → visual style → customer goal → an AETumi evidence experience → its industry hub / Labs artifact**. Each result links a live, interactive reference you own the source of.
What can you ask?
AETumi MCP is a **Three.js / WebGL MCP server** — an MCP for 3D websites, for frontend and creative developers using Claude Code, Cursor or Codex. Real prompts it answers:
来源
awesome · https://github.com/AETumiApp/aetumi-mcp
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