# figma-mcp

> figma-mcp — scalably-io-figma-mcp. Use this tool when you need to safely retrieve and manage Figma frames, such as listing frames in a file or fetching a specific frame's JSON and image data. It solves problems related to accessing and utilizing Figma design elements in a production environment, like Scalably. The tool takes Figma file inputs and outputs frame data in JSON and image formats, making it ideal for design and development workflows that rely on Figma integration.

Canonical page: https://skillsregistry.net/skills/scalably-io-figma-mcp  
JSON: https://api.skillsregistry.net/v1/skills/scalably-io-figma-mcp

## Description

Figma MCP server: list frames in a file and fetch one frame's JSON and image safely. Runs in production at Scalably.

## Trust

- **Trust score (0–1):** 0.89
- **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/scalably-io/figma-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": "scalably-io-figma-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scalably-io-figma-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scalably-io-figma-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
