mcp server
Brandsystem MCP — Brand Guidelines for AI
Use existing brand guidelines with AI. Turn websites, PDFs, and Figma into a .brand runtime.
Description as published by the maintainer. Source
- version 0.16.1
- active
- document understanding
active — Most recent push to the repository was 2026-08-06. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 10 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-06 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 14 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.16.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-20 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-20 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
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arvindrk-extract-design-system-extract-design-system
— last commit 2026-08-01, shares design-tokens
Extract design primitives from a public website and generate starter token files for your project.
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bitjaru-styleseed-ss-a11y
— last commit 2026-08-06, shares design-tokens
Audit a component or page for accessibility issues and fix them
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bitjaru-styleseed-ss-audit
— last commit 2026-08-06, shares design-tokens
Audit screens for UX issues using Nielsen's heuristics and modern mobile UX best practices
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bitjaru-styleseed-ss-build
— last commit 2026-08-06, shares design-tokens
Build a screen with StyleSeed's composed design method — choose or compile an output grammar, apply a brand recipe plus…
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bitjaru-styleseed-ss-component
— last commit 2026-08-06, shares design-tokens
Generate a new UI component following the StyleSeed design conventions
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bitjaru-styleseed-ss-copy
— last commit 2026-08-06, shares design-tokens
Generate UX microcopy (button labels, error messages, empty states, toasts) following a casual-but-polite voice and tone
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bitjaru-styleseed-ss-dial
— last commit 2026-08-06, shares design-tokens
Turn ONE design axis up or down as a coordinated, deterministic transform — "denser", "sharper corners", "more muted",…
-
bitjaru-styleseed-ss-feedback
— last commit 2026-08-06, shares design-tokens
Add appropriate user feedback states (loading, success, error, empty) to a component or page
-
bitjaru-styleseed-ss-flow
— last commit 2026-08-06, shares design-tokens
Design user flows and navigation structure following proven UX patterns
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bitjaru-styleseed-ss-lint
— last commit 2026-08-06, shares design-tokens
Quick automated lint — detects common design system violations in seconds
These share tags the maintainers applied themselves, such as design-tokens. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, brand-governance, brand-guidelines, brand-identity, brand-voice, claude, codex, cursor, design-tokens, mcp, model-context-protocol.
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