# Figma

> Use this tool when you need to integrate Figma design files and team resources into conversations, enabling AI assistants to retrieve file information, manage comments, and administer projects. It solves problems of design workflow inefficiency by allowing users to review, comment on, and analyze Figma files directly within the conversation interface. With Figma API integration and authentication through access tokens, it provides a seamless interface for design-related tasks.

Canonical page: https://skillsregistry.net/skills/deepsuthar496-figma  
JSON: https://api.skillsregistry.net/v1/skills/deepsuthar496-figma

## Description

Figma MCP Server provides integration with Figma's API, enabling AI assistants to interact with Figma design files and team resources directly within conversations. The implementation offers tools for file operations (retrieving file information, version history, components), comment management, project and team features, and webhook administration - all authenticated through a Figma access token. Built as a Node.js application using the MCP SDK and Axios for API communication, it's particularly valuable for design workflows that require reviewing, commenting on, or analyzing Figma files without leaving the conversation interface.

## 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:** file-system
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/deepsuthar496-figma)
- **Repository:** <https://github.com/deepsuthar496/figma-mcp-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": "deepsuthar496-figma"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deepsuthar496-figma` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deepsuthar496-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