Krafa
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v0.1.2GitHub []


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Krafa learns your design taste from the references you collect, then hands it to any coding agent over MCP, so the UI it builds looks like yours instead of its defaults.

Recommended

Connect an agent

Hand a board's taste profile to Claude Code, Cursor, Codex, Kiro, or Antigravity over MCP.

Design taste

What Krafa learns from a board: the eight categories, how extraction runs, and how to keep it accurate.

Reference

The HTTP API, self-hosting setup, and answers to the questions that come up most.

Getting Started

Paste your first references, watch Krafa learn, and hand the result to your coding agent.

Quickstart

Paste your first references onto a board, watch Krafa learn your design taste, and hand that taste to your coding agent over MCP.

How it works

Follow a single paste from your clipboard, through detection and extraction, into the taste profile your coding agent reads over MCP.

The Canvas

The infinite board you paste onto: every node type, how detection works, and how to keep a big board readable.

Canvas overview

A board is an infinite canvas that you fill by pasting. Here's how to move around it, what the on-screen controls do, and how your work is saved.

Pasting and node types

Every kind of content Krafa recognizes, the order it checks them in, and what lands on the canvas as a result.

Organizing a board

Select, group into folders, stack, resize, reorder, and clean up. The operations that keep a large board readable.

Command menu

Every taste, canvas, and workspace action behind Cmd+K, plus search across nodes and boards.

Keyboard shortcuts

Every key binding in Krafa, from canvas editing to the video player.

Design Taste

What Krafa learns from a board: the eight categories, how extraction runs, and how to keep the profile accurate.

Taste memories

The eight categories Krafa learns from a board, the shape of a memory, and what separates a useful one from a useless one.

Extraction

When Krafa runs a taste extraction, what it reads, what it deliberately skips, and the limits that keep a profile from bloating.

Conflicts

What happens when a new reference contradicts something Krafa already believes, and how to resolve it.

Curating your profile

Edit statements, trace memories back to their source, delete what's wrong, and keep the profile your agent reads accurate.

Using with Agents

Point any MCP-capable coding agent at a board: Claude Code, Cursor, Codex, Kiro, and Antigravity.

Connecting an agent

Krafa hands a board's taste profile to any MCP-capable coding agent over a hosted server. Mint a token, paste a config block, and your agent designs in your language.

MCP server reference

The transport, authentication, and complete tool schemas for the Krafa taste server.

Claude Code

Register the Krafa taste server with Claude Code so it designs against your references instead of its defaults.

Cursor

Connect Krafa to Cursor so the Agent builds UI in your design language while it edits.

Codex

Wire the Krafa taste server into Codex so it builds UI against your curated references.

Kiro

Connect Krafa to Kiro so its agent builds against your curated design taste.

Antigravity

Add the Krafa taste server to Antigravity so its agent designs from your references.

Imports

Bring references you already saved on X, Pinterest, and Dribbble onto a board.

Imports overview

Pull references you've already saved elsewhere (X bookmarks, Pinterest boards, Dribbble shots) onto a Krafa board without re-collecting them.

X

Connect your X account and import saved bookmarks onto a board as post nodes.

Pinterest

Browse your Pinterest boards inside Krafa and pull individual pins onto the canvas.

Dribbble

Pull your saved Dribbble shots onto a board as image nodes.

Reference

The HTTP API, self-hosting setup, and answers to the questions that come up most.

Plans and billing

What Krafa costs, what a generation is, and what happens when your agent runs past the included allowance.

HTTP API

Every endpoint the Krafa backend exposes, covering boards, memories, files, and the MCP handler.

Self-hosting

Run Krafa on your own infrastructure. Services, environment variables, and what degrades gracefully when a credential is missing.

FAQ

Common questions about what Krafa learns, what it sends where, and how it fits alongside your existing tools.