finance MCP Server
MCP server for progressive brand governance — extract, compile, and audit brand identity systems
Discovered via list:awesome-mcp-servers-punkpeye and last synced 3mo ago.
1. Install the package
npx -y @brandsystem/mcp
2. Add to claude_desktop_config.json
{
"mcpServers": {
"-brandsystem-mcp": {
"command": "npx",
"args": [
"@brandsystem/mcp"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
Add/replace logo via SVG markup, URL, or data URI.
Scan and catalog brand assets with MANIFEST.yaml metadata.
Define editorial content themes balanced across awareness, engagement, and conversion.
Load full brand context (visual + voice + strategy) for content generation.
Format
What You Get
Generate DTCG design tokens, brand runtime contract, and interaction policy from extracted data.
Check HTML/CSS against brand rules -- catches off-brand colors, wrong fonts, anti-pattern violations.
Generate messaging variants for every persona x journey stage combination.
Generate portable brand files for Chat, Code, team sharing, or email.
Prioritized list of items the system could not resolve confidently: missing primary color, low-confidence values, unassigned roles
Screenshot the rendered page in headless Chrome and extract computed colors, fonts, and visual context from JS-heavy sites.
Generate portable HTML brand report. Upload to any AI chat as instant guidelines.
Define perspective, voice codex (tone, vocabulary, AI-ism detection), and brand story.
Quick pass/fail compliance gate before publishing.
Connect a local `.brand/` directory to a hosted Brandcode Studio brand and pull the current package.
Human-verified
What it adds
Build buyer personas through a 7-question guided interview.
Extract from Figma design files (higher accuracy). Two-phase: plan then ingest.
Define composition rules, patterns, illustration style, and anti-patterns (6 interview sections).
Extract logo (SVG/PNG), colors, and fonts from any website URL.
Validate .brand/ directory for completeness and correctness.
Score content against brand rules (0-100) across multiple dimensions.
Meaning
Low-level directory scaffolding. Prefer `brand_start` instead.
Portable?
What it does
Self-contained brand report. Works offline, embeds all assets inline. Paste into any AI tool as brand guidelines
Resolve ambiguous brand values interactively (color roles, font confirmations).
Define buyer journey stages (ships with 4 proven defaults).
Detect systematic brand drift across multiple pieces of content.
Read the compiled brand runtime contract (single-document brand context for AI agents).
Report bugs, friction, or feature ideas to the brandsystem team.
Pull updates from a previously connected hosted brand using sync-token-aware delta behavior.
Inspect the current Brandcode Studio connection, sync history, and local package summary.
Toggle connected read tools to refresh from the hosted runtime within a short cache TTL.
Portable agent-facing design brief synthesized from the evidence bundle and current brand state
Enforceable rules engine. Visual anti-patterns, voice constraints (never-say, AI-ism patterns), and content claims policies. Used by preflight and scoring tools
Strong signal (e.g., Figma variable, CSS custom property named `--brand-primary`)
Reasonable inference (e.g., most-frequent chromatic color in CSS)
Weak signal (e.g., color appears once in a generic property)
Check progress, get next steps, or see a getting-started guide if no brand exists yet.
Generate `design-synthesis.json` and `DESIGN.md` from extracted evidence or the current brand state.
**Begin here.** Creates a brand system from a website URL in under 60 seconds. Use `mode='auto'` for one-call setup with rendered and deep-site fallback on weak JS-rendered sites.
Discover representative pages, render them across desktop and mobile, capture screenshots, sample multiple components, and persist `extraction-evidence.json`.
Audit existing website voice -- fingerprint, vocabulary, claims, AI-isms, gaps.
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