# Unified Figma MCP

> Unified Figma MCP — rachit0-glitch-unified-cutosm-figma-mcp. Use this tool when you need to manage multiple Figma MCP backends, such as Plumb and Custom, under a single interface, to coordinate and switch between them seamlessly. It solves problems of backend health monitoring and plugin bridge management, providing diagnostic probes and investigation documents. Ideal for use cases requiring unified control and coordination of multiple Figma MCP backends.

Canonical page: https://skillsregistry.net/skills/rachit0-glitch-unified-cutosm-figma-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rachit0-glitch-unified-cutosm-figma-mcp

## Description

Coordinates Plumb and Custom Figma MCP backends under one unified interface, exposing backend health and switch prompts because only one active plugin bridge is supported at a time. Currently includes investigation docs, diagnostic probes, and a Stage 2 coordinator runtime.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h54wrxeulw)
- **Repository:** <https://github.com/Rachit0-glitch/UNIFIED-CUTOSM-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": "rachit0-glitch-unified-cutosm-figma-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rachit0-glitch-unified-cutosm-figma-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rachit0-glitch-unified-cutosm-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