Brand-System/brandsystem-mcp
by Various
MCP server for progressive brand governance — extract, compile, and audit brand identity systems
MCP
Brand-System/brandsystem-mcp
Added 1 June 2026
Overview
MCP server that extracts, compiles, and audits brand identity systems. It provides a structured way to manage brand governance through the Model Context Protocol. Built in TypeScript for type safety.
Best for
Best for
Teams needing AI-assisted brand identity management and auditing
Use cases
- Extracting brand identity elements from existing sources
- Compiling brand guidelines into a standardized format
- Auditing brand system consistency across repositories
How to use
Install
npx @brandsystem/mcp brandcode connect https://brandcode.studio/start/brands/pendium Tools exposed
brand_startbrand_statusbrand_extract_webbrand_extract_visualbrand_extract_sitebrand_generate_designmdbrand_extract_figmabrand_set_logobrand_compilebrand_clarifybrand_auditbrand_reportbrand_initbrand_deepen_identitybrand_ingest_assetsbrand_preflightbrand_extract_messagingbrand_compile_messagingbrand_build_personasbrand_build_journey
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, ChatGPT
Example client config
{\n "mcpServers": {\n "brandsystem": {\n "command": "npx",\n "args": ["-y", "@brandsystem/mcp"]\n }\n }\n} Notes
MCP server that extracts, compiles, and audits brand identity systems. It provides a structured way to manage brand governance through the Model Context Protocol. Built in TypeScript for type safety.
3 stars on GitHub. Last updated 2026-05-12. Licensed MIT.
Use cases
- Extracting brand identity elements from existing sources
- Compiling brand guidelines into a standardized format
- Auditing brand system consistency across repositories
Pros
- Provides structured extraction of brand identity data
- Integrates with MCP-compatible AI assistants
- TypeScript codebase for type safety
Cons
- Low community adoption (3 stars)
- Narrow focus on brand identity systems only
- Requires MCP-compatible runtime to function
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides structured extraction of brand identity data
- Integrates with MCP-compatible AI assistants
- TypeScript codebase for type safety
Cons
- Low community adoption (3 stars)
- Narrow focus on brand identity systems only
- Requires MCP-compatible runtime to function
Pairs with
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