BrandKit MCP
Overview
Description from the maker (original English)
Brand atomic system over MCP: verbal, visual, motion, tokens, and a magic_trick taste primer.
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
- UsageiVery new↓ 70/wk · ★ –
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: Marketing & social media
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).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
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": {
"brandkit": {
"command": "npx",
"args": [
"-y",
"brandkit-mcp",
"serve"
]
}
}
}Run this in your terminal
claude mcp add brandkit -- npx -y brandkit-mcp serveOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"brandkit": {
"command": "npx",
"args": [
"-y",
"brandkit-mcp",
"serve"
]
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"brandkit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"brandkit-mcp",
"serve"
]
}
}
}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.
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 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account ejwhite7, 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 Marketing & social mediai
- More stars than 0% of the other 3592 servers in this category
- Published to the registry more recently than 11% of the other 3592 servers in this category
- Basic checks equal to or better than 100% of the other 3592 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 BrandKit MCP 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?
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (2.1.0) reached the registry 5 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: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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.
BrandKit MCP
Give every AI tool access to your company's complete brand atomic system via the Model Context Protocol.
BrandKit MCP v2 is an open-source MCP server that exposes a company's complete brand atomic system -- verbal identity (positioning, audience, messaging, differentiation, concepts, voice) and visual identity (colors, typography, components, tokens, motion, assets) -- to Claude and other AI tools via the Model Context Protocol (MCP). It ships 18 read-only tools, one local write tool, and 14 resources. When an LLM helps build a website, app, or marketing asset, it has instant structured access to the exact brand language and visual rules it needs -- including a human-authored taste primer that carries the brand's instincts, not just its specs.
Quick Start
# 1. Install
npm install -g brandkit-mcp
2. Scaffold a new brand atomic system from the starter template
brandkit-mcp init
3. Edit the scaffolded files with your brand content
4. Wire into Claude Desktop (or any MCP-compatible client)
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"brandkit": {
"command": "brandkit-mcp",
"args": ["serve"]
}
}
}
init refuses to change an existing brandkit.config.yaml or brand_atomic_system/ unless --force is explicit. Force performs a clean replacement only for a regular single-link config and a real directory; symbolic links, hard-linked configs, and special-file destinations are rejected.
Repository Structure
A brand atomic system lives under a single / directory (default: ./brand_atomic_system):
<brand-root>/
├── readme.md ├── magic_trick.md # human-authored taste primer ├── brandkit.config.yaml # version: 2 ├── human/ # PDFs and human-only material (MCP ignores) │ └── *.pdf └── agent/ ├── verbal/ │ ├── positioning.md │ ├── audience.yaml │ ├── messaging.md │ ├── differentiation.md │ ├── concepts.md │ └── voice.md └── visual/ ├── colors_and_type.css ├── fonts/ ├── assets/ ├── components/ ├── tokens/ ├── motion/ │ ├── motion.json │ └── motion.css └── artifacts/ ├── web/ # override layer └── product/ # override layer
The human/ directory is intentionally ignored by the MCP server -- put PDFs, print specs, or any other human-only material there. Everything under agent/ is indexed and served.
MCP Tools Reference
BrandKit MCP exposes 18 tools to AI assistants:
| Tool | Description |
|---|---|
get_brand_overview | High-level overview + taste primer |
get_magic_trick | Verbatim magic_trick.md |
get_positioning | Positioning document |
get_audience | Audience YAML, parsed |
get_messaging | Messaging document |
get_differentiation | Differentiation document |
get_concepts | Creative concepts/directions |
get_voice | Voice document |
get_colors_and_type | Colors + typography custom properties |
get_assets | Logos + brand assets |
get_fonts | Font faces |
get_components | UI primitives |
get_tokens | Token specimens |
get_motion | Motion system (json + css) |
get_css | colors_and_type.css + motion.css text |
search_brand | Full-text search |
validate_usage | Validate brand compliance |
get_context_diff | Diff base vs web vs product |
The stdio transport also exposes sync_brand_docs, which updates brandkit.config.yaml, DESIGN.md, and PRODUCT.md. Network transports hide and refuse this write-capable tool by default.
Taste primer
Seven creative/verbal tools (get_brand_overview, get_positioning, get_audience, get_messaging, get_differentiation, get_concepts, get_voice) inject a _taste_primer field carrying magic_trick.md verbatim. get_magic_trick returns the primer directly without wrapping.
MCP Resources
BrandKit MCP exposes 14 brand:// URIs as MCP resources:
| URI | Description |
|---|---|
brand://overview | Brand overview |
brand://magic_trick | Taste primer |
brand://verbal/positioning | Positioning document |
brand://verbal/audience | Audience YAML |
brand://verbal/messaging | Messaging document |
brand://verbal/differentiation | Differentiation document |
brand://verbal/concepts | Creative concepts |
brand://verbal/voice | Voice document |
brand://visual/colors_and_type | Colors + typography CSS |
brand://visual/assets | Asset index |
brand://visual/fonts | Font face index |
brand://visual/components | Component index |
brand://visual/tokens | Token specimens |
brand://visual/motion | Motion system |
Configuration
The brandkit.config.yaml file at your project root controls BrandKit MCP:
version: 2
brand: name: Acme Corp description: Plumbing for builders. root: ./brand_atomic_system contexts: [base, web, product] ignore:
- human/
ingestion: maxFileBytes: 16777216 maxTotalBytes: 134217728 maxFiles: 1000 maxDepth: 16
Ignore entries are paths relative to brand.root. They match the named path and its descendants on directory boundaries, so human/ does not match humanity/.
Brand ingestion is bounded before file content is read. The defaults allow a maximum of 16 MiB per file, 128 MiB across all unique inputs, 1,000 unique files, and 16 path segments below brand.root. Fixed documents, discovered components and tokens, manifests, fonts, and image assets all share the same budget. Directory enumeration is also capped at four times the configured file limit, so a tree of empty or unsupported entries cannot create unbounded work before file counting. In-root symlink and hard-link aliases count once by canonical file identity; an alias cannot bypass containment or a limit. Exact boundaries are accepted and the next byte, file, or path segment fails startup with a brand-relative error. Large brands can raise these typed ingestion values up to the built-in safety caps (64 MiB per file, 512 MiB total, 10,000 files, and 64 segments); maxTotalBytes must be at least maxFileBytes.
version: 2 is required. A config file missing this field or declaring version: 1 causes the server to throw BrandkitV1ConfigError at startup.
Context System
BrandKit v2 supports three contexts:
| Context | Purpose |
|---|---|
base | Shared foundation -- fonts, core colors, global tokens |
web | Overrides for the public-facing website (agent/visual/artifacts/web/) |
product | Overrides for the SaaS application (agent/visual/artifacts/product/) |
Verbal content (agent/verbal/) has no context overrides -- it applies globally. Visual content can be overridden per context via the artifacts/ layer.
Migrating from v1
2.0.0 is a breaking release. The directory layout, context vocabulary, and tool surface have all changed. No automated migration is included -- the path mapping is manual:
| v1 path | v2 path |
|---|---|
brand/shared/colors/*.css | agent/visual/colors_and_type.css |
brand/shared/typography/*.css | agent/visual/colors_and_type.css |
brand/shared/logos/* | agent/visual/assets/ |
brand/shared/components/*.md | agent/visual/components/*.md |
brand/shared/voice/brand-voice.md | agent/verbal/voice.md |
brand/shared/guidelines/*.md | agent/verbal/{positioning,messaging,differentiation,concepts}.md |
brand/marketing/* | agent/visual/artifacts/web/* |
brand/product/* | agent/visual/artifacts/product/* |
Your brandkit.config.yaml must also be updated to declare version: 2 and use the new brand.root field. v1 configs throw BrandkitV1ConfigError at startup -- the server will not start until the config is updated.
Conventions
`magic_trick.md` is human-authored. The MCP reads it, but sync_brand_docs never writes to it. The taste primer is the brand's instincts -- it must stay human.
Token output formats. The get_tokens tool supports CSS custom properties, SCSS variables, Tailwind config, W3C Design Tokens, and flat JSON.
Brand files stay inside `brand.root`. Every fixed and discovered brand input is resolved and opened under the configured root. A symlink is accepted when its final target remains inside that root; symlinks and manifest paths that escape the root are ignored with a warning, and their content is never indexed or exposed through tools, resources, or preview pages.
The config must be a regular, single-link file. brandkit.config.yaml cannot be a symbolic link, hard link, directory, or other non-regular entry. The server binds config persistence to the file loaded at startup; if that path is replaced while the server is running, sync_brand_docs refuses to read or overwrite the replacement. Successful config updates use an atomic same-directory replacement and preserve existing permissions.
Transports. The server supports stdio (recommended for Claude Desktop), SSE (legacy HTTP), and Streamable HTTP (current MCP spec). Network transports remain unauthenticated when bound to loopback for local development. Before binding SSE or HTTP to any non-loopback host, set BRANDKIT_AUTH_TOKEN; clients must send it as Authorization: Bearer on every request.
Network transports are read-only by default, including loopback, standalone, and Vercel deployments. To deliberately expose sync_brand_docs over SSE or Streamable HTTP, start the CLI with brandkit-mcp serve --transport http --allow-write-tools (or set allowWriteTools: true in the programmatic startServer options). Treat this as privileged mode: authentication is still mandatory for non-loopback binds. Stdio keeps the intended local write workflow without this flag. Adapters without a writable config context never advertise the tool, even if privileged mode is requested.
Every network transport rejects untrusted Host and Origin headers with HTTP 403. Loopback listeners automatically trust loopback hostnames and origins, including IPv4, IPv6, and ephemeral ports. A concrete non-loopback server.host derives trust for that exact hostname. Wildcard bindings (0.0.0.0 or ::) fail at startup unless server.allowedHosts is explicit:
server:
transport: http host: 0.0.0.0 port: 3001 allowedHosts:
- mcp.example.com # hostname only; Host-header ports are ignored allowedOrigins:
- https://app.example.com
allowedOrigins entries are exact HTTP(S) origins, including the port when it is non-default. If the list is empty, requests without an Origin header remain valid for MCP clients, while a supplied Origin must use a trusted Host hostname. Configure allowedOrigins explicitly when a browser application is hosted on a different origin. IPv6 entries in allowedHosts use brackets, for example [2001:db8::10].
The preview UI is deliberately loopback-only and refuses any wildcard, LAN, or public bind host. It also applies the same Host and Origin validation to every page and static asset. Use the authenticated MCP HTTP transport when data must be available beyond the local machine.
Docker Compose
The default Compose service runs the supported Streamable HTTP tra
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