Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Curated app, web and mini program color palettes with WCAG contrast and CSS variables.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://paletteget-mcp.y7206062.workers.dev/mcpRun this in your terminal
claude mcp add --transport http paletteget https://paletteget-mcp.y7206062.workers.dev/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"paletteget": {
"url": "https://paletteget-mcp.y7206062.workers.dev/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"paletteget": {
"type": "http",
"url": "https://paletteget-mcp.y7206062.workers.dev/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://paletteget-mcp.y7206062.workers.dev/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
list_palettes列出配色库中的配色,可按平台(app / web / miniapp)与标签过滤。返回名称、slug、主色、场景与标签。
get_palette取某一套配色的完整数据:角色色值(主色 / 功能色 / 中性色)、对比度、人工搭配建议。
suggest_palette按自然语言关键词推荐配色(中英文均可),例如「护眼的深色记账 App」「清新博客」。会说明每个结果命中了什么。
get_css_variables取一套配色的 CSS 自定义属性(可直接粘进项目),含语义化变量名。
check_contrast算两个颜色之间的 WCAG 对比度,并同时给出正文级(4.5 / 7)与大字级(3 / 4.5)两套判定。适合在把配色写进代码前先验一遍。
suggest_text_color给一个背景色,返回一组可读的文字色候选(同色相的极浅与极深版 + 纯黑白参照),按对比度降序,标出推荐项与 AA / AAA 判定。
get_platform_snippet取一套配色的可直接粘贴代码片段,按目标平台生成:Android colors.xml、iOS UIColor、Flutter Color、小程序 wxss、CSS 变量、SCSS 变量、Tailwind 配置。
get_color_scale从一个基准色生成 50 到 900 的 10 级色阶(500 等于基准色本身),每阶附白字与黑字的实测对比度;format 可取 list / json / css / tailwind。
darken_palette把一套浅色配色推导成深色版本:按固定规则重排明度与饱和度,并返回每对颜色的实测对比度。可用 slug 取库里配色,也可直接传 roles。
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account yang7206, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 59 ms (HTTP 200)
No sign-in needed
Read 9 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.3.0) reached the registry 14 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Kanal Varna — drains, leaks & plumbing (Varna, BG)
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
An MCP server for the PaletteGet color palette library: 100 palettes across App, Web and Mini App UIs, each organized into 10 design roles and checked against WCAG contrast requirements.
It exists so your AI coding tool stops inventing hex values. Instead of guessing, the model calls a tool and gets the real role colors, the measured contrast ratios, and the pairing advice that ships with the palette.
No API key, no sign-up.
https://paletteget-mcp.y7206062.workers.dev/mcp
{
"mcpServers": { "paletteget": { "type": "http", "url": "https://paletteget-mcp.y7206062.workers.dev/mcp" } } }
ChatGPT: Settings → Connectors → Add custom connector → paste the URL.
The hosted server embeds the dataset at deploy time, so it never depends on the site being reachable and answers in a few milliseconds.
npx -y paletteget-mcp
{
"mcpServers": { "paletteget": { "command": "npx", "args": ["-y", "paletteget-mcp"] } } }
Behind a proxy, set PALETTEGET_PROXY=http://127.0.0.1:7897 in the server's env block.
git clone https://github.com/yang7206/paletteget-mcp.git
cd paletteget-mcp npm install
{
"mcpServers": { "paletteget": { "command": "node", "args": ["/absolute/path/to/paletteget-mcp/index.mjs"] } } }
The stdio server fetches live data from the public JSON endpoints and caches it for 10 minutes.
| Tool | What it does |
|---|---|
list_palettes | List palettes, optionally filtered by platform (app / web / miniapp) or tag |
get_palette | Full data for one palette: role colors, contrast results, human-written pairing advice |
suggest_palette | Recommend palettes from keywords in English or Chinese, and say what matched |
get_css_variables | CSS custom properties for a palette, ready to paste |
check_contrast | WCAG contrast between any two colors, with both the body-text and large-text verdicts |
suggest_text_color | Readable text colors for a given background: same-hue tints and shades plus black and white, ranked by contrast |
darken_palette | Derive a dark-mode version of a light palette with published rules, and the measured contrast of every pair |
get_platform_snippet | Paste-ready code for one palette: Android colors.xml, iOS UIColor, Flutter Color, mini program wxss, CSS, SCSS or Tailwind |
get_color_scale | Expand one base color into a 50 to 900 scale, with white and black contrast per step; JSON, CSS or Tailwind output |
Example call and result:
suggest_palette { "query": "dark finance dashboard", "limit": 2 }
| Variable | Default | Purpose |
|---|---|---|
PALETTEGET_API | https://paletteget.com/api/index.json | Override the dataset URL |
PALETTEGET_API_ZH | derived (/zh/api/index.json) | Override the Chinese dataset URL |
PALETTEGET_CACHE_MS | 600000 | Cache lifetime in milliseconds |
PALETTEGET_PROXY | none | Route requests through a proxy, e.g. http://127.0.0.1:7897. Also honours HTTPS_PROXY. |
Behind a firewall, Node's built-in fetch ignores the usual proxy variables, so set PALETTEGET_PROXY explicitly.
npm run smoke
The smoke test speaks the MCP stdio protocol directly and exercises every tool against a local fixture, so it runs offline. Point PALETTEGET_API at the live site to test against production.
The worker (worker.mjs) is a hand-written, stateless subset of MCP Streamable HTTP (initialize, tools/list, tools/call, ping) with no SDK dependency, which keeps it small and Workers-native.
# 1. Regenerate the embedded dataset (run both locales)
SITE_URL=https://paletteget.com SITE_LOCALE=zh node --import ./alias-loader.mjs build-data.mjs SITE_URL=https://paletteget.com SITE_LOCALE=en node --import ./alias-loader.mjs build-data.mjs
npx wrangler dev # POST JSON-RPC to http://127.0.0.1:8787/mcp
npx wrangler deploy
build-data.mjs reuses the site's own i18n modules through alias-hooks.mjs, so names, scenes and advice stay identical to the published site. data/ is generated at build time and never committed.
Code is MIT (see LICENSE). Palette data comes from paletteget.com and may be reused freely in personal and commercial projects; a credit link is appreciated.
Machine-readable forms of the same data, if you would rather skip MCP entirely:
https://paletteget.com/api/index.jsonhttps://paletteget.com/palette-list/{platform}/{slug}/index.jsonhttps://paletteget.com/palette-list/{platform}/{slug}/index.csshttps://paletteget.com/llms.txt