@adobe/design-data-agent-mcp

Name: @adobe/design-data-agent-mcp Review
Item: @adobe/design-data-agent-mcp
Rating: 3.0
Author: Aaron Matthews

Connector Data & Analytics Usable

MCP server and Claude Code skill for the design-data agent surface — read tools run in-process via wasm

Ask Claude to analyze design system usage patterns across your product applications.
Generate reports on component adoption rates and performance metrics from design data.
Find inconsistencies in design token implementation across your codebase quickly.

141 starsApache-2.0 (commercial OK)FreeNo code needed

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Enables teams to query and analyze design system data programmatically within Claude, reducing manual data extraction and accelerating design-to-engineering handoff cycles.

Best for

Design systems teams and engineering leads standardizing design token management and automating design asset workflows.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://www.npmjs.com/package/@adobe/design-data-agent-mcp

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 @adobe/design-data-agent-mcp

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

CostFree

Trust Signals Auto-scanned

Stars141Last updated2026-06-17LicenseApache-2.0 (OK for commercial use)Weekly downloads237Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-19 · scanner v1

Data & Access

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

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 141 GitHub stars; contributors unknown; last commit 2d ago; license Apache-2.0.

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

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedJun 2026

Scored from trust signals (evidence-eval-v1): 141 GitHub stars; contributors unknown; last commit 2d ago; license Apache-2.0.

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