# Figma

> Use this tool when you need to access and retrieve detailed design file information, node metadata, and image assets from the Figma design platform. It solves problems related to design data extraction, image downloading, and layout analysis, providing a flexible interface for developers to work with Figma design files. With support for stdio and HTTP/SSE transports, it enables programmatic access to design data, making it ideal for use cases that require automated design file processing and analysis.

Canonical page: https://skillsregistry.net/skills/rlagudals95-figma  
JSON: https://api.skillsregistry.net/v1/skills/rlagudals95-figma

## Description

Figma MCP Server provides a bridge to the Figma design platform, enabling AI assistants to retrieve detailed design file information, node metadata, and image assets through a flexible, type-safe TypeScript implementation. Built with support for both stdio and HTTP/SSE transports, it allows developers to programmatically access Figma design data, download images, and extract layout, style, and effect information from design files.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rlagudals95-figma)
- **Repository:** <https://github.com/rlagudals95/mcp_figma>

## 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": "rlagudals95-figma"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rlagudals95-figma` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rlagudals95-figma/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
