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What you can do with Awwwards MCP

awwwards-mcp is a free, open-source MCP server that lets AI coding agents search award-winning websites for design inspiration and analyze, capture, and verify live sites.

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INSANE0777/Awwwards-mcp on GitHub

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Authorization notice. This tool is dual-use. Only use it on software, sites and systems you own or have explicit permission to test, and follow the relevant licenses and terms of service.

What do you want to do?

4 use cases

  • Build a landing page from shortlisted award-winning references

    Turn 2 to 5 Awwwards sites into a cited design brief your agent can build from.

    View prompt
    Use the awwwards-mcp server to search for portfolio references, shortlist 3 sites, then call create_design_brief with the slugs and the goal "<project goal>". Expected output: a cited Markdown direction plus versioned JSON that separates shared signals from one-site outliers. Verify that every color and motion cue in your build traces back to a cited signal in the brief.

  • Score your build against a reference site and fix the gaps

    Band-map your page and diff its motion against a reference, then iterate to a passing score.

    View prompt
    Use the awwwards-mcp server to run verify_build comparing my local build at <build file:// path> against the reference <reference URL>. Expected output: a 0 to 100 score, a pass, warn, or fail verdict, and evidence lines naming each band or motion gap. Verify the score changes after you apply one fix and re-run the check.

  • Turn a site's scroll animations into a runnable GSAP stub

    Census a live page's scroll motion and generate a single-file GSAP ScrollTrigger starting point.

    View prompt
    Use the awwwards-mcp server to run analyze_scroll_map on <target URL>, then pass the result to build_gsap_stub. Expected output: a runnable single-file GSAP plus ScrollTrigger stub with one timeline per census animation and a prefers-reduced-motion guard. Verify the stub opens without errors and that the timeline count matches the census.

  • Get alerts when new award winners match your watched studios or tags

    Poll new winners and watch studios or tags, then report only what changed since the last check.

    View prompt
    Use the awwwards-mcp server to call new_winners to set a baseline, then add a watch_site entry for the tag <tag name>. Expected output: a list of new winners and per-watch NEW since last check deltas. Verify that a second new_winners call reports only winners that were not in the first listing.

How to use Awwwards MCP

  1. Check you have what it needs: Node.js 22.13 or newer (check with `node -v`); An MCP-compatible coding agent such as Claude Code, Codex CLI, OpenCode, or Cursor; No API key or account is needed for the core search tools.
  2. Open INSANE0777/Awwwards-mcp on GitHub and read the README and license.
  3. Run claude mcp add awwwards -- npx -y awwwards-mcp (or codex mcp add awwwards -- npx -y awwwards-mcp for Codex CLI).
  4. Ask the agent to search for references with search_sites, for example by color, tag, or a free-text query such as "soft pastel e-commerce".
  5. Shortlist 2 to 5 site slugs and write one required project goal.
  6. Call create_design_brief with those slugs and the goal, and read the Markdown direction and JSON output.

These steps come from our top use case, Build a landing page from shortlisted award-winning references, which also has a copy-paste agent prompt.

Awwwards MCP alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • Node.js 22.13 or newer (check with `node -v`)
  • An MCP-compatible coding agent such as Claude Code, Codex CLI, OpenCode, or Cursor
  • No API key or account is needed for the core search tools
  • Playwright, as linked from the README, for the live-capture, scroll-map, and verify tools
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Questions about Awwwards MCP

What is Awwwards MCP?

awwwards-mcp is a free, open-source MCP server that lets AI coding agents search award-winning websites for design inspiration and analyze, capture, and verify live sites. It is an open-source project on GitHub: https://github.com/INSANE0777/Awwwards-mcp.

Who is Awwwards MCP for?

Frontend developers and designers who want their AI coding agent to build or check a site against real award-winning references.

What can I do with Awwwards MCP?

4 use cases so far, for example: Build a landing page from shortlisted award-winning references; Score your build against a reference site and fix the gaps; Turn a site's scroll animations into a runnable GSAP stub. Each has steps and a copy-paste agent prompt.

What do I need to run Awwwards MCP?

Node.js 22.13 or newer (check with `node -v`); An MCP-compatible coding agent such as Claude Code, Codex CLI, OpenCode, or Cursor; No API key or account is needed for the core search tools; Playwright, as linked from the README, for the live-capture, scroll-map, and verify tools.

What are alternatives to Awwwards MCP?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Awwwards MCP safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.