# figma-mcp-proxy

> figma-mcp-proxy — dgehriger-figma-mcp-proxy. Use this tool when you need to access Figma design data without using the official OAuth flow, as it provides a read-only proxy for fetching design context, file data, images, comments, and user info using a personal access token. It solves problems for MCP clients with limited authentication capabilities, allowing them to retrieve necessary design information. Ideal for use cases where a simple, token-based authentication is required to interface with the Figma REST API.

Canonical page: https://skillsregistry.net/skills/dgehriger-figma-mcp-proxy  
JSON: https://api.skillsregistry.net/v1/skills/dgehriger-figma-mcp-proxy

## Description

A read-only MCP proxy for the Figma REST API, providing tools to fetch design context, file data, images, comments, and user info using a personal access token. Designed for MCP clients that cannot use Figma's official OAuth flow.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kgbn6jc9tr)
- **Repository:** <https://github.com/dgehriger/figma-mcp-proxy>

## 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": "dgehriger-figma-mcp-proxy"
    }
  }
}
```

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