# io.github.compassalessandrolorenz/Figma-Context-MCP-AIR

> Use this tool when you need to integrate Figma design capabilities with AI agents, providing design context, variables, and screenshots to enhance collaboration and automation. It solves problems related to design data exchange and FigJam integration, offering a range of tools to streamline workflows. With inputs including design files and variables, and outputs such as screenshots and design context, this tool is ideal for AI-driven design applications and automated workflows.

Canonical page: https://skillsregistry.net/skills/io-github-compassalessandrolorenz-figma-context-mcp-air  
JSON: https://api.skillsregistry.net/v1/skills/io-github-compassalessandrolorenz-figma-context-mcp-air

## Description

Figma MCP server for AI agents. 9 tools: design context, variables, screenshots, and FigJam.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 2.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.compassalessandrolorenz%2FFigma-Context-MCP-AIR)
- **Repository:** <https://github.com/compassalessandrolorenz/Figma-Context-MCP-AIR>

## 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": "io-github-compassalessandrolorenz-figma-context-mcp-air"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-compassalessandrolorenz-figma-context-mcp-air` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-compassalessandrolorenz-figma-context-mcp-air/pull`

---
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