FiMake
MCP server that lets any AI agent read Figma designs into code and edit your UI — no Figma AI subscription needed
Install / Use
claude mcp add chavisnguyen -- npx -y github:chavisnguyen/FiMakeIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
DesignSupported Platforms
Our assessment of FiMake
FiMake scores 63/100 on our quality scale, 231st of 251 Design skills we index.
Its MCP Server is 1.5 KB long, split into 3 sections with 2 code examples: moderately detailed.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 11 days ago, so FiMake is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
FiMake compared with similar skills
All 4 of these similar skills score higher than FiMake; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| FiMake (this skill)by chavisnguyen | 63 | 3 | 11d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 100.1k | today | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 99.7k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 76.5k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.5k | today | CLAUDE.md |
Frequently asked questions
- How do I install FiMake?
- Run
claude mcp add chavisnguyen -- npx -y github:chavisnguyen/FiMake. The install tabs above show the steps for each supported agent. - Which AI agents does FiMake work with?
- It is written for Claude Code, Claude Desktop and Cursor, as a MCP Server file. Other agents that read the same format can often use it too.
- Is FiMake safe to use?
- It is Apache-2.0-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is FiMake still maintained?
- The repository was last updated 11 days ago, so FiMake is actively maintained.
Skill content
View source on GitHubFimake
The official Figma MCP server is read-only. Fimake lets AI agents work directly in your Figma documents — create, edit, organize, and read.
📖 Docs: chavisnguyen.github.io/FiMake
Install
You need: Figma Desktop + an MCP client. No Node, no repo clone.
brew tap chavisnguyen/fimake
brew install fimake
fimake install-plugin # downloads + registers the Figma plugin (macOS)
brew services start fimake # one shared server in the background
Open Figma → Plugins > Development > Fimake and keep the window open (it shows Connected).
Point your MCP client at http://localhost:10101/mcp and restart it. Claude Code:
claude mcp add --transport http --scope user fimake http://localhost:10101/mcp
Cursor / Opencode / Claude Desktop: see Quickstart. Several clients can use the same server at once.
Then ask "list the pages in this Figma file". Stuck? Run fimake doctor — see Troubleshooting.
No Homebrew? See Usage. Building from source? See Development.
Tools
39 tools: 30 forward directly to the plugin (name = task command), 9 have extra Node-side logic. Full list: docs/tools.md.
Related Skills
Agent-Reach
100.1kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
taste-skill
99.7kAgent skills that give coding agents taste: art direction, reference images and a browser check instead of generic AI pages
headroom
76.5kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
CowAgent
47.5kOpen-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
