# Figma MCP Tool

> Use this tool when you need to interact with Figma designs programmatically, solving problems such as automated image export, style data extraction, and design element analysis. It takes Figma file IDs and API credentials as inputs and outputs images, CSS, style data, and SVG code, making it ideal for designers and developers who want to streamline their workflow. It is particularly useful when working with large design files or batch operations, allowing for efficient design element analysis and data extraction.

Canonical page: https://skillsregistry.net/skills/echoxiawan-figma-mcp-full-server  
JSON: https://api.skillsregistry.net/v1/skills/echoxiawan-figma-mcp-full-server

## Description

Enables interaction with Figma designs through the Figma API, allowing users to export images in multiple formats, extract style data and CSS, analyze design elements, and retrieve SVG code from Figma files. Supports batch operations and comprehensive design element analysis including images, vectors, and components.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wbr1sz6xf7)
- **Repository:** <https://github.com/Echoxiawan/figma-mcp-full-server>

## 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": "echoxiawan-figma-mcp-full-server"
    }
  }
}
```

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