penpot-headless
A portable MCP server for headless Penpot project/file/content management, using Penpot's RPC API directly. No browser, no Penpot plugin session.
README
penpot-headless
A portable MCP server for headless Penpot project/file/content management, using Penpot's RPC API directly. No browser, no Penpot plugin session.
This package has zero project-specific knowledge — no hardcoded colors, fonts, or Penpot instance URL. Every consuming project supplies its own config and token file, so it can be installed from npm or copied as-is into another project.
What this does
- Team/project/file/page CRUD (
penpot_list_teams,penpot_create_file, etc.) - Shape creation —
rect,frame,text— viapenpot_add_shapes, with colors/fonts resolved either from a literal value or a{ "token": "name" }reference against your project's token file. - Reading a file's current shape tree via
penpot_get_file_snapshot. - Rendering a shape or page to PNG/SVG via
penpot_export_shape(requiresPENPOT_LOGIN_EMAIL/PENPOT_LOGIN_PASSWORD, see below) — no browser tab or Penpot plugin session needed on your end.
Render/export capability
penpot_export_shape renders a shape (or an entire page, by passing its
root frame's id) to PNG or SVG, using Penpot's own server-side exporter —
the same headless-Chromium-backed service Penpot's self-hosted stack
already runs (the penpotapp/exporter container). No browser automation
happens in this package; it's two HTTP calls (login, then export) against
your Penpot instance.
This needs a second, separate auth mode from the rest of this package:
Penpot's export pipeline (POST /api/export) is a distinct microservice
from the /api/rpc/command/* surface everything else here uses, and it
authenticates purely via a session cookie — a personal access token in an
Authorization header is never read on this path (confirmed by reading
Penpot's exporter source: its wrap-auth looks for a literal auth-token
cookie and nothing else). So this tool logs in with
PENPOT_LOGIN_EMAIL/PENPOT_LOGIN_PASSWORD to obtain that cookie,
independently of PENPOT_ACCESS_TOKEN.
Important: PENPOT_ACCESS_TOKEN and PENPOT_LOGIN_EMAIL/
PENPOT_LOGIN_PASSWORD must belong to the same Penpot account (or at
least accounts with access to the same team). If they're different
accounts, penpot_export_shape will time out — the export session can't
see a file it has no permission to open, and Penpot's exporter doesn't
distinguish "shape not visible" from "access denied," so the failure surfaces
as a generic 10-second render timeout.
If your Penpot instance doesn't expose password login (e.g. SSO-only
instances), or you'd rather not configure these credentials, simply omit
PENPOT_LOGIN_EMAIL/PENPOT_LOGIN_PASSWORD — the export tool won't be
registered, and every other tool works exactly as before.
Also out of scope: rotated shapes (only rotation: 0 is supported —
selrect/points/transform are computed as identity-matrix math, which
only holds for unrotated shapes), and components/variants/auto-layout.
Setup
-
Generate a Penpot access token: your Penpot instance → Account settings → Access tokens. (Self-hosted instances: this section is hidden unless the backend/frontend are started with
PENPOT_FLAGSincludingenable-access-tokens.) -
Create a token file for your project (see
design-tokens/*.tokens.jsonin the consuming repo for an example — or write your own matching the schema below). -
If you want
penpot_export_shape, also setPENPOT_LOGIN_EMAIL/PENPOT_LOGIN_PASSWORDto the same account the access token above belongs to (see "Render/export capability" above for why). Skip this if you don't need rendering. -
Register this server in your MCP client config, e.g.:
{ "mcpServers": { "penpot-headless": { "command": "npx", "args": ["-y", "@ai-dala/penpot-headless"], "env": { "PENPOT_BASE_URL": "https://your-penpot-instance.example.com", "PENPOT_ACCESS_TOKEN": "your-token-here", "PENPOT_TOKENS_PATH": "/path/to/your-project/design-tokens/tokens.json", "PENPOT_LOGIN_EMAIL": "same-account-as-the-token-above@example.com", "PENPOT_LOGIN_PASSWORD": "that-account's-password" } } } }Or, if working from a local clone instead of the published package:
{ "mcpServers": { "penpot-headless": { "command": "npx", "args": ["tsx", "/path/to/penpot-mcp/src/server.ts"], "env": { "PENPOT_BASE_URL": "https://your-penpot-instance.example.com", "PENPOT_ACCESS_TOKEN": "your-token-here", "PENPOT_TOKENS_PATH": "/path/to/your-project/design-tokens/tokens.json", "PENPOT_LOGIN_EMAIL": "same-account-as-the-token-above@example.com", "PENPOT_LOGIN_PASSWORD": "that-account's-password" } } } }
Token file schema
{
"colors": {
"accent": "#7AA2FF",
"bg-surface": "#111726"
},
"fonts": {
"sans": { "family": "Inter", "weights": ["400", "500", "600"] }
}
}
Any color-typed field in penpot_add_shapes accepts either a literal hex
string or { "token": "accent" }, resolved against this file at call time.
Copying to another project
This package is published to npm as @ai-dala/penpot-headless, so most
consuming projects can just reference it via npx (see above) without a
local copy.
If you'd rather vendor it, this directory has its own
package.json/tsconfig.json and depends only on
@modelcontextprotocol/sdk and zod — no framework dependencies. Copy the
whole penpot-headless/ directory into the new project, run npm install,
write a token file for that project, and register the server with a
PENPOT_TOKENS_PATH pointing at it.
Known limitations
penpot_export_shaperequires password-login credentials for the same account as the access token — see "Render/export capability" above. Instances that are SSO/OIDC-only (no password login) can't use it.- Unrotated shapes only.
- No component, variant, or auto-layout tool support — only
rect,frame,text.
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