Why I built my own Figma MCP ? скачать в хорошем качестве

Why I built my own Figma MCP ?

Claude’s Official Figma MCP Exists — But the Experience Is Limited Claude recently released an official Figma MCP, but in real-world usage, the experience breaks down quickly. The main problems: ⚠️ Fails on complex or large files When a design gets big, the MCP often sends the entire frame to Claude Result: design file too large → request rejected outright ⚠️ Poor context utilization No intelligent cropping No chunking strategy Large amounts of irrelevant pixels waste context ⚠️ No UI-level understanding You still have to manually screenshot Manually crop regions Manually resize images In practice, it doesn’t save much work What ImagePrep MCP Does Differently I built ImagePrep MCP to solve one core problem: making Figma designs actually understandable by Claude. ✂️ Intelligent UI Cropping Automatically detects meaningful UI regions Avoids dumping entire canvases blindly 🧩 Automatic Chunking Splits large designs into Claude-friendly pieces Preserves layout and structural relationships 🗜️ Claude-Optimized Compression Not generic image compression Specifically optimized to reduce wasted tokens and context usage 🔗 Figma Link → Claude No screenshots No exports Just paste the Figma link 🔐 Simplified Authorization No manual token configuration Click Authorize, and it works What’s Next Automatic Tailwind CSS export Automatic React component generation Video Timeline 00:05–00:15 My core pain point: large Figma files completely break Claude’s understanding. 00:15–00:25 The official MCP often fails with “design too large” or “context exceeded.” 00:25–00:35 It usually sends the entire frame to the model without optimization. 00:35–00:45 That’s why I decided to build my own MCP. 00:45–01:00 ImagePrep MCP starts directly from a Figma link. 01:00–01:15 It automatically identifies key UI regions instead of full-page screenshots. 01:15–01:30 Large designs are split into pieces Claude can actually process. 01:30–01:45 All images are re-compressed to fit Claude’s visual constraints. 01:45–02:00 Claude no longer just “sees images” — it understands the design. 02:00–02:10 It can analyze layout, components, and structure. 02:10–02:20 This finally makes the Figma + Claude workflow practical.