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Description from the maker (original English)
FramingUI design-system tools for coding agents: validate screens, check wiring, browse the catalog.
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.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"framingui": {
"command": "npx",
"args": [
"-y",
"@framingui/mcp"
]
}
}
}Run this in your terminal
claude mcp add framingui -- npx -y @framingui/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"framingui": {
"command": "npx",
"args": [
"-y",
"@framingui/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": {
"framingui": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@framingui/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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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 soo-kate, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
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FramingUI
The design system your coding agent can't drift from.
Install · Demos · How it works · Free scope · framingui.com
Ask an agent to "build a settings page" and you get whatever the model dreamt that day: default-blue buttons, three border radii on one screen, a hand-rolled dropdown with no focus states. The code runs. The screen is slop.
FramingUI is an agent skill: a token-driven design system packaged so that coding agents (Claude Code, Codex) compose screens *from* it instead of around it. A closed vocabulary — components, layout tokens, machine-checkable screen recipes, one strongly-opinionated theme — plus zero-install validators that fail loudly when the agent strays. Your agent reads the theme's design DNA, composes from the catalog, validates the result, and self-critiques the rendered screen before calling it done.
No server. No account. No telemetry. A folder of data and plain-node scripts.
One prompt each, zero design feedback rounds — composed entirely from the free catalog in the editorial-tech theme:
| "Build a revenue dashboard" | "Build our blog's article page" |
|---|---|
| "Build the account settings page" | Licensed preview: the conversation pack |
|---|---|
*The fourth screen uses the licensed conversation domain pack — thread states, streaming, composer. It's shown here so you know where the free line sits.*
Claude Code — from your project root:
mkdir -p .claude/skills
curl -L https://framingui.com/get/skill | tar -xz -C .claude/skills
OpenAI Codex — same tarball into .agents/skills instead.
Or clone this repo and copy skill/framingui into your skills directory. Claude Code and Codex auto-discover it; from then on, any "build a screen / add a component / apply the theme" request routes through the system.
To actually render what the agent composes, add the component library to your project:
npm install https://framingui.com/get/ui
Then wire the scope + theme CSS — the skill's own INSTALL.md walks your agent (or you) through it, and node .claude/skills/framingui/scripts/doctor.mjs . verifies the wiring and tells you exactly what's missing.
Prefer MCP? The same validators and catalog are exposed as an MCP server — @framingui/mcp (npx @framingui/mcp, stdio) — for clients that speak MCP but don't load skills.
FramingUIScope boundary, theme CSS actually loaded. Broken wiring is a hard fail, not a silent default palette.assets/themes/editorial-tech.json) — its design DNA, mood keywords, and per-recipe notes are hard constraints, not suggestions.The commands your agent will use (all plain node, zero install):
node .claude/skills/framingui/scripts/doctor.mjs . # environment check
node .claude/skills/framingui/scripts/validate-screen.mjs s.json # screen definition gate node .claude/skills/framingui/scripts/layout.mjs validate c.json # layout contract gate node .claude/skills/framingui/scripts/recipe.mjs list # screen grammars node .claude/skills/framingui/scripts/pack.mjs list # domain packs
The free tier is deliberately minimal, lovable, and stable: it only ever grows, so a screen you ship today keeps validating forever.
| Free | Licensed | |
|---|---|---|
| Components | 30 — the full 20-component screen contract + form/feedback/layout essentials | 62 — adds Sidebar, Command, Combobox, DataTable, DatePicker, Sheet, Popover, the 8-component conversation suite, and more |
| Themes | editorial-tech | 9 voices |
| Layout tokens & recipes | All of them | All of them |
| Domain packs | — | conversation (assistant surfaces) |
| Updates | Stable free channel | Continuous releases |
When your agent reaches for something licensed, it doesn't get a mystery "unknown component" — it gets a LICENSE_REQUIRED error naming the real thing and where it lives, with strict instructions not to hand-roll an imitation. The full catalog is subscription-licensed at framingui.com — join the waitlist and you'll get exactly one email at launch.
Why a skill and not just docs? Agents don't read docs; they pattern-match. A skill puts the vocabulary, the constraints, and the validators in the agent's working set — and the validators make violations cost an exit code.
Does this phone home? No. Everything is local. The optional journal (.framingui/journal/) never leaves your machine and records rule IDs and exit codes, never your code.
Can I use it commercially? Yes — this bundle is MIT. The licensed catalog is a separate commercial product.
MIT for everything in this repository. skill/framingui is generated from the FramingUI source system — issues and screenshots of misbehaving screens are very welcome.