MCP server

motionprompts Official

dev.motionprompts/motionprompts

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Plan pages, pick GSAP motion components and get their build prompts and composition rules.

Website Source

At a glance

Type

MCP server

Publisher

motionprompts.dev (verified by the MCP Registry)

Status

Working at last check

Tools

14

Token cost

About 4,590 tokens per request

Sets up in

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

Last checked

26 Oct 2026, 08:29 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 motionprompts https://motionprompts.dev/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.motionprompts]
url = "https://motionprompts.dev/mcp"

Gemini CLI

{"mcpServers":{"motionprompts":{"httpUrl":"https://motionprompts.dev/mcp"}}}

Cursor

{"mcpServers":{"motionprompts":{"url":"https://motionprompts.dev/mcp"}}}

VS Code

{"servers":{"motionprompts":{"type":"http","url":"https://motionprompts.dev/mcp"}}}

Antigravity

agy mcp add motionprompts https://motionprompts.dev/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":"motionprompts","server_url":"https://motionprompts.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"motionprompts","server_url":"https://motionprompts.dev/mcp"}

Tools

• get_component ~226 tokens
  Fetch one component by slug. `include` controls the payload: 'meta' (full catalog record), 'preview' (thumbnail + live demo URL), 'prompt' (a self-contained brief to REBUILD it faithfully), 'source' (the actual index.html/styles.css/script.js to copy, plus an integration note). Default: meta + previ
• get_component_prompt ~237 tokens
  THE way to get a build prompt. Returns three blocks: (a) the standalone prompt VERBATIM, untouched; (b) the tokens of the requested motion system; (c) an explicit instruction telling you to adapt (a) to (b) YOURSELF, preserving arithmetic relationships — if a duration holds up a sum, a chained seque
• get_integration_contract ~271 tokens
  Given the slugs you intend to put on ONE page, returns: rule violations (hard, invalidate the page), warnings, the measured budget (JS gzip / assets / scroll corridor), and an ordered init plan — single Lenis instance, CustomEase registration, entry veil first, one ScrollTrigger.refresh() at the end
• get_motion_system ~90 tokens
  Full token set of a motion system plus the components that are native to it.
• list_components ~156 tokens
  Browse the whole catalog as a compact list (slug, title, useWhen, mood, useCase, level, perfCost). Use for an overview or when a brief is vague; use search_components when you have a specific brief.
• list_facets ~94 tokens
  Return the filter vocabulary (mood, useCase, level, perfCost, category, deps) with how many components carry each value. Call this first to learn the exact values search_components accepts.
• list_motion_systems ~116 tokens
  The 8 motion systems of the library: token sets (ease/duration/stagger/lenis) derived from the measured inventory, not invented. Use this FIRST when composing a page: pick one system and render every component's prompt with it so the page moves coherently.
• plan_imagery ~442 tokens
  Qué imagen necesita cada sección, CON QUÉ MODELO se hace y cómo se redacta el prompt. Con la arquitectura y el movimiento resueltos, lo que sigue delatando una página generada son las imágenes: genéricas del sector en vez de específicas de la sección, sin una sola persona, y todas rectángulos con fo
• plan_page ~446 tokens
  Returns the SECTIONS a page of this kind needs — 10 to 14 of them, each with a role, what it has to accomplish, what content it needs, and whether it should move — plus a motion system and its tokens. It returns NO components on purpose: a page can only be as rich as the list it is composed from, an
• render_prompt ~377 tokens
  DEPRECATED in favour of get_component_prompt. Mechanical substitution does not fit this corpus: the prompts narrate their own numbers in prose, so replacing only the code values makes prose and code specify different components (judged 11/30). Coverage is deliberately narrow: 164 of 219 components h
• search_components ~688 tokens
  Find the components that best fit a natural-language brief (e.g. "un hero elegante para una marca de lujo", "cartas apiladas al hacer scroll") or a name/alias. Returns a ranked, compact list with a `why` for each hit. Combine the free-text `query` with facet filters to narrow. Then call get_componen
• search_components_motion ~256 tokens
  Filters by the CAPA-1 motion block (trigger, libs, complexity, motion system) rather than by prose. Prefer this over search_components when composing a page: `category` describes how a component LOOKS, `trigger`/`cluster` describe how it MOVES, and they disagree — the `slider` label alone splits acr
• suggest_mechanics ~717 tokens
  Given a section role from plan_page and what that section has to do, returns ranked candidate components — filtered first by the catalog facets that actually correspond to the role, then ranked by the free-text need. Prefer this over search_components when building a planned page. Crucially, it can
• suggest_page_treatments ~474 tokens
  The twin of suggest_mechanics for the family that does not fill a section slot: smooth scroll, the shaped edge BETWEEN two stacked sections, a background that runs behind the whole page, a custom cursor, route transitions. These were unreachable from the planner because the whole model assumed a mec

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