Brandsystem MCP vs Ghl Command Feedback

brand_start

Adopt a brand into a portable .brand/ runtime from whatever source already exists: existing brand guidelines (PDF), a website URL, a Figma library, or a hosted Brandcode Studio brand. THE entry point when the user says 'use my existing brand guidelines with AI', 'I have a PDF brand guide', 'use our Figma library', 'create a brand system', 'extract brand from website', or 'set up brand guidelines'. Pass website_url, guideline_pdf, figma_file_key, or brandcode_url — or pass no source and it discovers local candidates and presents a menu with a privacy explanation. Set mode='auto' with a website_url to run the full pipeline (extract, compile DTCG tokens + design-synthesis.json + DESIGN.md + brand runtime + interaction policy, generate HTML report) in one call. If .brand/ already exists, returns current status with next steps. NOT for reading an already-compiled brand (use brand_runtime or brand_context) or for sharing an existing brand with a team (use brand_brandcode_connect).

brand_status

Check brand system progress and get next steps. Shows what has been extracted (colors, fonts, logo), confidence levels, session completion status, and what to do next. Use when resuming a previous session, checking readiness, or when the user asks 'what's the state of my brand?' If no .brand/ exists, returns a full getting-started guide with all available tools. Returns structured status data.

brand_compile

Generate DTCG design tokens, design-synthesis.json, DESIGN.md, brand runtime, and interaction policy from extracted brand data. Transforms core-identity.yaml into tokens.json, brand-runtime.json (single-document brand contract for AI agents), and interaction-policy.json (enforceable rules). When Session 2+ data exists, also generates visual-identity-manifest.md and system-integration.md. Use after brand_extract_web, brand_extract_site, brand_extract_visual, or brand_extract_figma. Returns token counts, clarification items, and file list.