# io.github.kenneives/design-token-bridge-mcp

> Use this tool when you need to translate design tokens between different design systems and programming languages, such as Tailwind, Figma, CSS, Material 3, and SwiftUI, to ensure consistency and reuse across projects. It solves problems of design token compatibility and conversion, taking in design tokens from one system and outputting equivalent tokens in another. This tool is ideal for use cases where designers and developers need to collaborate and maintain a unified design language across multiple platforms.

Canonical page: https://skillsregistry.net/skills/io-github-kenneives-design-token-bridge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-kenneives-design-token-bridge-mcp

## Description

Translate design tokens between Tailwind, Figma, CSS, Material 3, and SwiftUI

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.kenneives%2Fdesign-token-bridge-mcp)
- **Repository:** <https://github.com/kenneives/design-token-bridge-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-kenneives-design-token-bridge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-kenneives-design-token-bridge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-kenneives-design-token-bridge-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