Skip to main content
Glama
Brand-System

@brandsystem/mcp

Official

brand_export

Bundle compiled brand system into portable artifacts for sharing with AI tools, teams, or generating PDF guides. Supports targets like chat, code, team, email, and custom skills.

Instructions

Bundle the compiled brand system into a portable artifact for a specific destination. Use when asked 'share my brand', 'export for ChatGPT/Cursor/team', 'generate brand guidelines', 'make a one-pager', or 'create a brand PDF'. Target 'chat': self-contained markdown for upload to any AI conversation (Claude, ChatGPT, Gemini). Target 'code': MCP server config + CLAUDE.md/.cursorrules snippet. Target 'team': human-readable brand guidelines for designers/writers/marketers. Target 'email': ~500-word summary for Slack or email. Target 'claude-skill': SKILL.md with embedded logo + rules for persistent Claude artifacts. Target 'pdf': branded PDF with swatches, type, anti-patterns, and voice. Set include_logo=false to drop the embedded SVG/data URI when size matters. Writes to .brand/exports/ and returns the full content (markdown targets) or a generation summary (pdf). Requires brand_compile to have run first. NOT for previewing one section — use brand_preview.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYesWhere this export will be used. 'chat': upload to AI conversation (Claude/ChatGPT/Gemini). 'code': paste into CLAUDE.md or .cursorrules. 'team': share with designers/writers. 'email': send via Slack or email. 'claude-skill': persistent Claude skill file with embedded logo + brand rules. 'pdf': brand guide PDF with color swatches, typography, visual rules, and voice summary — no browser needed.
include_logoNoEmbed logo SVG/data URI in the export. Set false to reduce file size. Default: true.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description takes full responsibility. It explains output format (markdown or summary), file location, and prerequisite (brand_compile). Lacks details on overwrite behavior or idempotency, but covers essential traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is well-structured and front-loaded. Each sentence serves a purpose. Slightly verbose in target list, but overall efficient for the information density.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 2 parameters and no output schema, the description covers purpose, parameters, behavior, prerequisites, and limitations. Adequately complete for its complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers both parameters (target and include_logo). The description adds value by explaining each target value and the rationale for include_logo false, enhancing understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool bundles a compiled brand system into portable artifacts. It specifies distinct destinations and contrasts with sibling tool brand_preview, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly lists common user queries to trigger usage ('share my brand', 'export for ChatGPT', etc.). Provides separate guidelines for each target and warns against previewing one section, directing to brand_preview instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Brand-System/brandsystem-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server