@paperclipai/mcp-server

Name: @paperclipai/mcp-server Review
Item: @paperclipai/mcp-server
Rating: 3.8
Author: Aaron Matthews

Connector Development Solid

Works inClaude Code Claude Cowork Claude Chat

Solid Scanned — metadata only

Enables Claude to interact with Paperclip design systems directly through MCP, reducing context switching between design tools and AI-assisted development wo…

Model Context Protocol server for Paperclip.

Generate UI components from design specifications using Paperclip design system
Automate code generation for responsive layouts defined in Paperclip templates
Ask Claude to convert design files into production-ready component code

79,328 starsMIT (commercial OK)FreeNo code needed

Why it matters

Enables Claude to interact with Paperclip design systems directly through MCP, reducing context switching between design tools and AI-assisted development workflows while maintaining design consistency in code generation.

Best for

Frontend engineering teams integrating design tokens and component systems into AI-driven development pipelines.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://www.npmjs.com/package/@paperclipai/mcp-server

By GitHub Actions

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

npx -y @paperclipai/mcp-server

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me generate UI components from design specifications using Paperclip design system

CostFree

Trust Signals Auto-scanned

Stars79,328Last updated2026-08-25LicenseMIT (OK for commercial use)Weekly downloads16,881Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-25 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 79,328 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

5/5

Reliability

3/5

Security

3/5

Overall score3.85 / 5.00 SolidEvaluatedAug 2026

Scored from trust signals (evidence-eval-v1): 79,328 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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