# tesserai

> tesserai — tesseraihq-tesserai. Use this tool when you need to manage and implement your design system directly within your repository, utilizing a token engine, component templates, and a CLI with MCP server to streamline development and ensure consistency. It solves problems related to design system integration, version control, and collaboration, providing a seamless interface for coding agents to follow and implement designs. Ideal for teams using git, it takes in design system configurations and outputs implemented designs, automating the development process.

Canonical page: https://skillsregistry.net/skills/tesseraihq-tesserai  
JSON: https://api.skillsregistry.net/v1/skills/tesseraihq-tesserai

## Description

Your design system, in your repo, followed by your coding agent. The token engine, component templates and CLI with its MCP server.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/tesseraihq/tesserai)

## 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": "tesseraihq-tesserai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tesseraihq-tesserai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tesseraihq-tesserai/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