# Brandcode MCP

> Use this tool when you need to extract and codify brand identity from websites into machine-readable formats. It solves problems of brand consistency and automation by converting website data into tokens and policies. Ideal for use cases requiring standardized brand representation, such as marketing automation and digital asset management.

Canonical page: https://skillsregistry.net/skills/io-github-brand-system-brandsystem-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-brand-system-brandsystem-mcp

## Description

Make your brand machine-readable. Extract identity from any website into tokens and policies.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.4.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Brand-System%2Fbrandsystem-mcp)
- **Repository:** <https://github.com/Brand-System/brandsystem-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-brand-system-brandsystem-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-brand-system-brandsystem-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-brand-system-brandsystem-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt