Canicode

Name: Canicode
Author: let-sunny

by let-sunnyversion 0.5.2i★ –iRuns on your computer

Registry nameio.github.let-sunny/canicode

Install

Overview

Description from the maker (original English)

Analyze Figma designs for dev & AI readiness. 39 rules, scoring, HTML reports.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: FIGMA_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: FIGMA_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "canicode": {
      "command": "npx",
      "args": [
        "-y",
        "canicode"
      ],
      "env": {
        "FIGMA_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add canicode --env FIGMA_TOKEN=your-value -- npx -y canicode

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "canicode": {
      "command": "npx",
      "args": [
        "-y",
        "canicode"
      ],
      "env": {
        "FIGMA_TOKEN": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "canicode": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "canicode"
      ],
      "env": {
        "FIGMA_TOKEN": "your-value"
      }
    }
  }
}

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.

Values you fill in

FIGMA_TOKEN secret env
Figma personal access token for REST API access and comment posting

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account let-sunny, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2195 servers in this category
Published to the registry more recently than 3% of the other 2195 servers in this category
Basic checks equal to or better than 100% of the other 2195 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Canicode safe?

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.

What keys or codes does it need?

You need to fill in: FIGMA_TOKEN

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.2) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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

Figma Context MCP

by GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago

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Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

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Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago

Install

README from the maker

Open the README

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.

CanICode

Ship your Figma design exactly as you intended — without learning CSS.

Try it in your browser — no install needed.

What canicode does

You designed it in Figma. You know exactly how it should look and behave — but the AI codegen guesses, and half the time it guesses wrong. The cards don't stack on mobile. The hover state disappears. The padding gets normalised. *That's not what I designed.*

canicode is the pre-implementation interview between your Figma file and AI codegen. It asks the questions a developer would ask before they implement — in plain language you can answer:

*"The three cards are side-by-side at desktop width — what should happen when the screen is narrow?"*

You answer in plain words ("좁아지면 한 줄에 하나씩" / "stack them vertically"). canicode translates that into the exact technical spec the codegen needs, and writes it back into your Figma file as a structured annotation so the next run no longer has to guess.

You stay in Figma. You never type a CSS selector. The intent ships.

→ Full thesis: docs/POSITIONING.md

The three layers

Linter — 17 rules surface the gaps your craft instinct senses but can't name. *"Something's off with this spacing."* → it finds the one card with 14px padding while the rest are 16px.
Q&A scaffolding — for every gap, canicode asks in your vocabulary, not the developer's. You answer, it spec'ifies.
Roundtrip persistence — answers live in the Figma file as Dev Mode annotations. Next run, next person, next codegen — they all see the intent.

The linter is deterministic (no LLM tokens consumed for the analysis itself), ablation-validated at 94% pixel accuracy with 5× fewer tokens than raw JSON, and calibrated against real Figma designs.

Why canicode (vs Claude Design)

Claude Design launched in April 2026 and covers the prompt → app path beautifully — AI designs from your prompt and hands the result to Claude Code. canicode covers a different workflow:

	Claude Design	canicode
Who designs	AI (from a prompt)	The designer (in Figma)

If you want the AI to design for you, use Claude Design. If you already designed it and want it implemented exactly the way you intended, canicode is for you. The two are not in competition — they assume different things about who owns the design.

See docs/POSITIONING.md for the full thesis (target persona, the workflow assumption, and what canicode is not for).

The Roundtrip Workflow

Skills: `canicode-gotchas` = survey answers saved locally in SKILL.md only (memo). `canicode-roundtrip` = same analysis path plus writes to Figma (annotations / properties). Pick gotchas for capture-only; pick roundtrip when the design file should change.

Analyze — run the 17 rules against the Figma design (report includes grade).
Surface gotchas — the analyzer emits questions for design information it can't infer (missing states, unclear variants, responsive intent).
Apply fixes to Figma — the /canicode-roundtrip skill writes answers back via use_figma. Each write shows up in the summary with one of three outcome markers:

✅ scene write succeeded — the property was written directly to the scene node or instance override.
📝 annotated the scene node — the skill left a structured annotation instead of writing the property. This is the default for instance-child layout writes, because propagating a property to the component definition (and therefore every instance of it) is almost never what the user wants. A summary full of 📝 markers is correct behavior, not failure.
🌐 definition write propagated — the property was written to the component definition and every instance inherited it. Only happens when the user opted in up front with allowDefinitionWrite.

Re-analyze — verify gotchas were captured (annotations / acks); repeat step 2 if new gotchas surface.
Hand off to figma-implement-design — canicode's scope ends at design augmentation. Figma's official code-generation skill takes the now-clean design and produces code.
Close out with a Code Connect mapping — after figma-implement-design returns, the roundtrip asks whether the generated code is satisfactory. On y, canicode registers a Code Connect mapping pointing the Figma component at the just-generated code so future roundtrips on screens containing this component reuse the implementation instead of regenerating markup. Skipped if Code Connect is not set up in your repo — the roundtrip warns about this up front, before the gotcha survey, so you can decide whether to install prerequisites first or proceed without mapping.

Try it in 30 seconds

[Open the web app](https://let-sunny.github.io/canicode/) — paste any Figma URL, get a report. No install, no token, no AI cost. This is the linter view (Layer 1) — useful by itself.
Then if you want the full Q&A roundtrip, install the Claude Code skill below.

Run the full roundtrip (Claude Code)

npx canicode init

saves your Figma token + installs /canicode-roundtrip

(the prompt asks for the token; never paste it into agent chat)

/canicode-roundtrip https://www.figma.com/design/ABC123/MyDesign?node-id=1-234

in your Claude Code session

The roundtrip calls the Figma MCP server to read and write your design — install it once with claude mcp add -s project -t http figma https://mcp.figma.com/mcp and restart Claude Code.

Cursor / Claude Desktop / other MCP host: also supported. CLI install path (npx canicode init --cursor-skills), bare MCP server install, GitHub Action for CI gates, and other channels are listed in the Installation matrix below.

Optional — Code Connect (for the closing Step 6 mapping): install @figma/code-connect and create figma.config.json at your repo root per Figma's setup guide, then run canicode doctor. If you skip this, the roundtrip still works — it just does not register the mapping. It warns you up front so you can decide.

What It Checks

Category	Rules	What it measures
Pixel Critical	3	Can AI read the layout? (Auto Layout, absolute positioning, groups)
Responsive Critical	2	Will it work at different viewports? (fixed sizing, size constraints)
Code Quality	5	Is the design efficient for AI context? (components, variants, nesting, Code Connect coverage)
Token Management	2	Can AI reproduce exact values? (raw values, spacing grid)
Interaction	2	Can AI know what happens? (state variants, prototypes)
Semantic	3	Can AI infer meaning? (semantic names, conventions)

Each issue is classified: Blocking > Risk > Missing Info > Suggestion.

Installation — pick one

Token safety: never paste your Figma token into Claude / Cursor / agent chat — session logs can retain it. Use the CLI prompt (npx canicode init), --token, or the FIGMA_TOKEN=… env var.

Each row below is a complete install. Don't run more than one — they cover overlapping use cases.

If you use…	Install
Claude Code (recommended for the roundtrip workflow)	`npx canicode init` (interactive prompt for the token in a TTY) or `npx canicode init --token figd_xxxxxxxxxxxxx` (CI / non-TTY) — saves the token AND drops `/canicode`, `/canicode-gotchas`, `/canicode-roundtrip` skills into `./.claude/skills/`. The skills already know how to call canicode via `npx canicode …`, so no canicode MCP install is needed; the Figma MCP is still required for the `/canicode-roundtrip` apply step — see the prereq below. To rotate the token later without reinstalling skills: `npx canicode config set-token`.
Cursor / Claude Desktop / other MCP host	Add canicode to the host’s MCP config — see `docs/CUSTOMIZATION.md`. Example (Cursor project file): `npx` + `canicode-mcp` via `--package=canicode`.
OpenClaw / other AgentSkills-compatible host	Manual skill copy — see Other agents (manual install). Best-effort docs, not a support commitment.
Just the CLI (CI, scripts)	Nothing. `npx canicode analyze " "` works directly. Run `canicode init --token …` once if you want the token persisted to `~/.canicode/config.json`. To rotate the token later, use `canicode config set-token` (no skill reinstall).

Get your token: Figma → Settings → Security → Personal access tokens → Generate new token. Figma's PAT docs

Scope: Read-only is sufficient for canicode.

Expiry: Tokens default to 90 days; check the dropdown when generating.

Roundtrip prerequisite: the /canicode-roundtrip skill calls the Figma MCP server to read and write the design. Install it once with claude mcp add -s project -t http figma https://mcp.figma.com/mcp and restart Claude Code so the new MCP tools load.

Claude Code Skills — install details

# Interactive (TTY) — prompts for the token, never paste it into agent chat

npx canicode init

Non-interactive (CI / non-TTY) — token via env or --token only

FIGMA_TOKEN=figd_xxxxxxxxxxxxx npx canicode init npx canicode init --token figd_xxxxxxxxxxxxx

Drops three skills into ./.claude/skills/:

canicode — lightweight CLI wrapper (use /canicode )
canicode-gotchas — standalone gotcha survey (use /canicode-gotchas )
canicode-roundtrip — full analyze → gotcha → apply roundtrip (use /canicode-roundtrip )

The install copies 7 files total — the three SKILL.md files above plus four canicode-roundtrip helper files (helpers.js, helpers-bootstrap.js, helpers-installer.js, canicode-roundtrip-helpers.d.ts) used by the roundtrip Step 4 apply path. The CLI summary's files installed: 7 reflects this file count.

Explicit invocation: the SKILL.md description fields advertise TRIGGER conditions so the model auto-routes Figma-URL prompts to the right skill, but routing is non-deterministic. For deterministic invocation, type /canicode , /canicode-gotchas , or /canicode-roundtrip directly — the slash command bypasses model-based routing.

The skills shell out to npx canicode … for analyze / gotcha-survey, so installing the canicode MCP server is optional (both paths produce the

Only the beginning is shown; read the rest in the repo

Canicode

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

What canicode does

The three layers

Why canicode (vs Claude Design)

The Roundtrip Workflow

Try it in 30 seconds

Run the full roundtrip (Claude Code)

saves your Figma token + installs /canicode-roundtrip

(the prompt asks for the token; never paste it into agent chat)

in your Claude Code session

What It Checks

Installation — pick one

Non-interactive (CI / non-TTY) — token via env or --token only