
Taste Bank
io.github.QuasarG由 GitHub 账号 QuasarG 发布v0.2.0更新于 Oct 24, 2026
Reusable visual design systems for AI coding agents — browse, fetch, and submit styles via MCP.
概览
一个本地 MCP 服务器,让助手从 Taste Bank 浏览、获取并提交可复用的前端风格包(设计令牌、规则、CSS 与模板)。
- 可以做什么
- 浏览和搜索已发布的风格包,查看某个风格的元数据与设计令牌详情。一次调用获取完整风格包:元数据、令牌、SKILL.md 规则、作用域 CSS 和 HTML 模板快照。把风格以规则文件形式应用到项目中,并管理收藏。校验、签名并提交新的风格包进入审核,身份由私钥承担。
- 适用场景
- 当你希望编码助手以统一、可复用的视觉风格构建前端,而不是每次重新发明风格时使用;也适合发布并版本化自己的风格包。README 将 CLI 列为推荐方式,MCP 为旧版方式。
- 运行要求
- 由 MCP 客户端启动的本地进程;README 中的 MCP 配置使用远程 URL 和 x-invite-code 请求头,CLI 需通过 npx 使用 Node.js。需要访问默认后端网络,或通过 TASTEBANK_API 指定自托管地址。提交需要邀请码和用 keygen 命令生成的 ed25519 密钥对。
安装
在 SourceWeft 中
- 打开 控制台中的 Taste Bank,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
The front-end style library for coding agents — distill a style once, reuse it everywhere.
Swipe styles like you're scrolling TikTok — find the one that catches your eye, then hand it to your agent.
[npm] [Astro] [TypeScript] [Zod]
English | 中文文档
Why Taste Bank
Sound familiar?
- Staring at a blank page, no idea how to lay out your components?
- Layout finally settled — yet the AI's visual style never quite lands?
- A hoard of "beautiful designs" you can never actually summon when you need one?
- The style you painstakingly tuned in your last project has to be re-explained from scratch in the next one?
Getting coding agents to produce well-designed front-ends is a solved problem nobody can actually use. The community is full of front-end skills, prompt snippets, and design guides — but in practice:
- No unified invocation: some styles ship as a skill, some as a plugin, some ship nothing at all. Actually using them is a chore.
- No quality bar: without a shared schema, a "style" can be three adjectives in a trench coat — nothing an agent can actually execute.
- Hard to reuse: great styles die in chat histories instead of being distilled into an asset.
- No ownership or iteration: no versions, no way to say "only I maintain my styles."
More importantly: the web spawns new styles every day — but not every style is mainstream enough, not every style is your taste. We want a community where people share the front-end taste they actually use — and vote with their feet. Only what truly gets used is truly usable.
Taste Bank's answer: distill each style into a structured style pack (SKILL.md usage guide + precise design tokens + templates/ snapshots), enforced by a zod schema, served through a CLI + skill injection that works with any coding agent. Once a style is in the bank, it's reachable anywhere, versioned, and owned.
The homepage gallery: swipe through live-rendered styles like a feed — horizontal card rail with interactive preview, most-referenced styles and top authors at a glance.
Quick Start
Via CLI (recommended)
One command — installs the CLI globally and teaches your coding agents (Claude Code, Codex, Cursor, ZCode, Kimi Code…) how to use it:
Then just talk to your agent in plain language:
"Build me a landing page with one of the styles in taste-bank."
Your agent already knows what to do — setup injected a skill that teaches it the taste-bank CLI commands. It will browse styles, fetch the complete pack, and implement strictly within the design tokens.
Prefer the terminal?
No per-agent config, no JSON to paste. Browse visually first at tastebank.cloud.
Via MCP (legacy)
For agents that prefer the MCP protocol, configure one URL in your MCP client:
Both paths call the same backend. CLI is recommended — simpler, works with 70+ agents out of the box.
Features
- One-line setup:
npx taste-bank setupinstalls the CLI and injects skills into all your coding agents (Claude Code, Codex, Cursor, ZCode, Kimi Code, and 70+ more via the openskillsecosystem) - Complete style packs:
taste-bank skill <slug>returns the full pack in one call — meta, tokens, SKILL.md rules, scoped CSS, and HTML template snapshots. Agents get everything they need. - 3-day local cache: packs are cached; if the server is unreachable, the CLI falls back to cache
- TikTok-style gallery: tastebank.cloud — endless stream of live-rendered previews, horizontal card rail, leaderboards
- Structured & validated: every pack passes a strict zod schema (meta / tokens / skill / templates), versioned, with invite-only submissions + ed25519-signed ownership + human review
- Submit from the terminal:
taste-bank submit— sign and submit a new style without leaving your project - Private key as identity: no accounts — whoever holds the key manages the style
CLI Commands
Browsing & applying (no auth)
Contributing (invite + ed25519 identity)
How it works
Two skills are injected (via the open skills ecosystem):
taste-bank— teaches your agent the CLI commands for browsing and applying stylestaste-bank-contribute— the full contribution SOP: how to sample a project, pack a style, sanitize it, and submit
After setup, your agent knows the CLI. You just say "use a taste-bank style" and it runs the commands itself.
The CLI talks to tastebank.cloud by default and caches packs locally for 3 days. Self-host? Set TASTEBANK_API=https://your-host.
Submit your own style
Or just tell your agent: "submit this project's style to taste-bank" — the injected taste-bank-contribute skill guides it through the full SOP (sample 2 files max, extract real tokens, sanitize business-identifying content, pack, validate, submit).
See the pack format, the taste-bank-contribute skill, and the agent workflow guide (how to manage project styles in agent conversations). 中文版见 Agent 工作流指南。
Security
Authentication & ownership
- Invite codes: submissions require an invite code; a code binds to the submitter's public key on first use — one code, one identity; only hashes stored server-side
- ed25519 signatures: submit / update / delete all require a private-key signature (message =
style-lab:<action>:<slug>:<timestamp>:<sha256(payload)>, 30-min window) — your key is your identity - Review queue: submissions land in
data/pending/and go live only after maintainer approval - Rate limits: 20 submits/min per pubkey, 30 manages/min per slug
Content safety
- Template sandbox: previews render in a
sandbox=""iframe with CSP forbidding scripts/external loads - HTML blocklist + secret-pattern scanning: submissions are screened for dangerous attributes and high-confidence secret patterns
- Prompt-injection mitigation: style content is labeled "data, not instructions" in skill descriptions
⚠️ Every submission is manually reviewed. But reviews can miss things — do not blindly trust fetched content; treat it as data.
HTTP API
Project structure
License
MIT © QuasarG
来源:README.md,提交 c4526db
工具
0版本历史
1- v0.2.0最新Sep 16, 2026
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