MCP server

Motion Menu

io.github.dev55acc-ai/motion-menu

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

597 motion/3D UI patterns as ready HTML/CSS/JS, served over MCP. The entire library is free.

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

11

Token cost

About 2,588 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http motion-menu https://www.motionmenu.ca/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.motion-menu]
url = "https://www.motionmenu.ca/api/mcp"

Gemini CLI

{"mcpServers":{"motion-menu":{"httpUrl":"https://www.motionmenu.ca/api/mcp"}}}

Cursor

{"mcpServers":{"motion-menu":{"url":"https://www.motionmenu.ca/api/mcp"}}}

VS Code

{"servers":{"motion-menu":{"type":"http","url":"https://www.motionmenu.ca/api/mcp"}}}

Antigravity

agy mcp add motion-menu https://www.motionmenu.ca/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"motion-menu","server_url":"https://www.motionmenu.ca/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"motion-menu","server_url":"https://www.motionmenu.ca/api/mcp"}

Tools

• audit_page ~314 tokens
  Audit an EXISTING page (yours or a client's — any AI builder, any stack) for the default-AI "section grammar" tell: numbered steps, a centered hero with two buttons, 3-up icon cards, a testimonial/FAQ/CTA-band skeleton repeating unchanged. Deterministic, no LLM — every finding cites the exact matche
• build_page ~328 tokens
  Design a complete page from intent. Returns an act map — 5–7 acts in page order, each with a purpose, recommended patterns (by slug), and a density rating (loud/quiet). Follows the one-page protocol: density wave pacing, one GL spectacle, 12–18 viewport-heights. Feed the result straight to get_patte
• check_updates ~181 tokens
  Check whether patterns you already built with have changed. Pass the library version you last built against (from `version` in a previous check_updates or /p/manifest.json) and get back exactly which slugs were added, changed or removed — so you re-pull three patterns instead of all of them. Call wi
• get_design_digest ~89 tokens
  Get the machine-readable Motion Menu quality contract. Call before build_page. It defines anti-generic composition rules, motion lifecycle, responsive requirements, truth constraints, and release verification gates.
• get_kit ~73 tokens
  Get the Motion Menu build kit: the design laws, the one-page act protocol, stack pins, known gotchas, and the full pattern index. Call this FIRST before building a page.
• get_pattern ~179 tokens
  Get one pattern by number, including its complete transplantable HTML, CSS and JS. Pass framework to get a ready-to-use component wrapper (react .tsx, vue .vue, svelte .svelte, or vanilla .ts).
• list_patterns ~347 tokens
  List Motion Menu patterns. Every row is "number slug <role> [tags] · title". ROLE is where the pattern goes on a page (hero, nav, pricing, background, product, form…) — filter by it when you are building a page rather than hunting an effect. The SLUG is the permanent identity — prefer it. Filter
• propose_directions ~176 tokens
  Turn a business/page brief into three deliberately different design genomes before choosing components. Each direction defines layout grammar, typography, imagery, motion physics, density rhythm, and explicit avoid rules. Pass a returned direction_id into build_page with the same brief and seed.
• recommend_patterns ~477 tokens
  Intent-aware pattern recommendations. Describe what you are building — industry, style, mood, technical needs — and get scored results with reasons and compatibility suggestions. Returns metadata only (number, slug, title, role, score, reason, compatible_with). Call get_pattern to retrieve the actua
• validate_combination ~184 tokens
  Check whether a set of patterns work well together. Pass the slugs (or numbers) of patterns you plan to combine on a page and get a compatibility report: overall score, per-pair analysis, style/industry coherence, intensity balance, page-flow coverage, and warnings (duplicate roles, missing position
• verify_repair ~240 tokens
  Re-audit a page you just rewrote from audit_page's prescriptions and get a pass/fail verdict: fresh ai_shaped_score, the delta from the prior audit (pass baseline_score or the whole prior audit_page result as `baseline`), and any tells STILL present, each with a concrete fix instruction. FREE, no ke

Browse

• GitHub tools
• Svelte tools
• Legal research
• GitHub and code hosting
• Calling other AI models

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