MCP server for motionprompts.dev — production-grade GSAP motion mechanics with composition rules and copy-paste build prompts. Generated mirror; do not edit by hand.
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !Licence file present but not machine-readable
claude mcp add motionprompts-mcp -- npx -y motionprompts-mcp{
"mcpServers": {
"motionprompts-mcp": {
"command": "npx",
"args": ["-y", "motionprompts-mcp"]
}
}
}Resumen de MCP Servers
# motionprompts MCP
An MCP server over a catalog of **<!--n-->259<!--/n--> production-grade GSAP motion components**
([motionprompts.dev](https://motionprompts.dev)). A curated set of components is free with the full
prompt; the rest of the library returns a 12-line preview until you pass a Full Stack key
(`Authorization: Bearer mpk_...`, from [motionprompts.dev/account](https://motionprompts.dev/account/)).
Plans: [motionprompts.dev/pricing](https://motionprompts.dev/pricing/). It does not generate animations: it hands you the
ones that are already solved and debugged, tells you how to compose them without them fighting each
other, and says so plainly when the catalog does **not** have what you asked for.
## What it exposes
| Tool | What for |
| --- | --- |
| `plan_page` | The **information architecture** of a page: 9–14 sections with their role, their job, and whether they should move. Deliberately returns no components. |
| `suggest_mechanics` | Mechanics for **one** section, filtered by the real facets of its role. Knows how to answer that there is nothing. |
| `suggest_page_treatments` | The twin of `suggest_mechanics` for mechanics that belong to the **page**, not a section slot: smooth scroll, shaped edges between sections, running backgrounds. |
| `get_integration_contract` | Repairs, mount order and budget for a set of components. It is what stops two entry veils from coexisting, and — given `moving_sections` — what tells you to your face that the page is under-animated. |
| `plan_imagery` | Image direction section by section: which shot is needed, **with which model** (people, objects and landscape are not interchangeable), how to get transparency, and where real logos come from. Returns text: it generates nothing. |
| `get_component_prompt` | The author's prompt **verbatim** + the motion-system tokens + the instruction to adapt it yourself. |
| `search_components` | Free-text search with `lexical_coverage`: reliable for saying "there is nothing here", not for saying "this is the best". |
| `search_components_motion` | Search by **measured motion metadata** (trigger, cluster, easing, duration) instead of by looks. |
| `get_component` | Meta, preview, prompt and — where the distribution carries it — source. |
| `list_facets` · `list_components` · `list_motion_systems` · `get_motion_system` | Vocabulary and tokens. |
| `render_prompt` | Deprecated; use `get_component_prompt`. |
## Hosted endpoint — no install
The server runs live at `https://motionprompts.dev/mcp` (Streamable HTTP, stateless; a Bearer key is optional and unlocks the paid prompts).
Add it to Claude Code with one command and you are done:
```bash
claude mcp add --transport http motionprompts https://motionprompts.dev/mcp
```
Discovery manifest: [motionprompts.dev/.well-known/mcp](https://motionprompts.dev/.well-known/mcp).
## Local installation
Requires **Node 20 or newer**. No API key and no environment variables for the free set; the local package carries only the free prompts in full (the paid ones as previews), so for the whole library use the hosted endpoint with your key.
The package is on npm as [`motionprompts-mcp`](https://www.npmjs.com/package/motionprompts-mcp) —
no clone needed:
```bash
claude mcp add motionprompts -- npx -y motionprompts-mcp
```
Or from a clone:
```bash
git clone https://github.com/VanguardiaAI/motionprompts-mcp.git
cd motionprompts-mcp
npm install
```
### Claude Code
```bash
claude mcp add motionprompts -- node /absolute/path/to/motionprompts-mcp/mcp/server.mjs
```
### Claude Desktop and other clients
In the client's JSON configuration:
```json
{
"mcpServers": {
"motionprompts": {
"command": "node",
"args": ["/absolute/path/to/motionprompts-mcp/mcp/server.mjs"]
}
}
}
```
Check that it works:
```bash
npm run verify # end-to-end battery over the real MCP protocol
```
To self-host the HTTP endpoint instead of stdio: `npm run start:http` (defaults to
`127.0.0.1:4478`; configure with `MCP_HTTP_HOST` / `MCP_HTTP_PORT`).
## About API keys: none needed
**This server uses no key and cannot spend anyone's money.** It reads no environment variables,
asks for no secrets, and makes **not a single network call**: it opens files from disk and returns
text. It is a catalog reader.
That includes `plan_imagery`, which talks about image models and transparent backgrounds: **it returns
text**. It is a recipe, not a generator. It names the three models we use ourselves because that is
the useful information — which one is for what — but it calls none of them, and the writing and
cut-out rules work the same with whatever provider you prefer.
If you came looking for the notice about [kie.ai](https://kie.ai): that key belongs to a separate
authoring tool — the one that generated the photography for the example pages — which is **not part
of this package**. It is excluded on purpose, so nothing in here can generate images or bill anyone.
If you want photography for your pages, use whatever service you prefer with your own account.
## How to use it well
Order matters, and it is the hardest thing to get right:
1. **`plan_page` first.** It returns sections, not components: a page can only be as rich as the
list it is composed from, and composing straight from animation mechanics flattens it to five
sections. Adjust the list to the actual brief before going on.
2. **`suggest_mechanics` per section**, with `avoid` to exclude what you already used. Without it
you will repeat components: broad roles offer a hundred-plus candidates with tied scores, and
reusing the same `need` string always returns the same first hit.
**`avoid` is for not repeating yourself, not for animating less.** If you discard the #1 because
it is taken, take the #2 — they are tied. A section left static because its first candidate was
already used is the most expensive failure of this flow, and it was literally an `if` in the
example script.
3. **`get_integration_contract`** with all the slugs at once, before writing a line, and with
`moving_sections` set: it is the coverage audit.
4. **`get_component_prompt`** per component. **Re-dress, don't reimplement**: change images, copy,
palette, typography and element counts, and keep the mechanic. Discard a component only if its
MECHANIC does not fit — never on aesthetic taste.
5. **`plan_imagery`** before writing a single image prompt, with the same section list.
Five roles are declared **catalog gaps** (`faq`, `data`, `pricing`, `testimonial`, `reference`):
there is nothing for them among the <!--n-->259<!--/n--> components. But "no component" does **not**
mean "this section stays still": they are three to five sections out of a thirteen-section page, and
`suggest_mechanics` returns for each one a **recipe written in the token vocabulary**
(`hand_written_recipe`). For everything else, adopt.
### Overshoot rather than undershoot
`plan_page` returns a `motion_coverage` block with the math done: how many sections should move,
which are covered by adopting and which by recipe. One of them ending up with nothing is a defect of
the page, not a style decision. The mistake people make is not excess: it is spreading four
mechanics across the showy sections and leaving the rest blank. What saves a page from noise is not
scarcity of motion — it is everything moving in the same language, and the motion system already
takes care of that.
### Images are what still gives a generated page away
With architecture and motion solved, what keeps ringing false is the imagery. `plan_imagery`
encodes the three measured defects and their remedy:
- **The image belongs to the industry, not to the section.** Competitor test: if the prompt would
work unchanged on a competitor's page, it is generic. It must carry a fact that is only true on
this page.
- **Nobody appears.** People go to `nano-banana-2` and only that one: the other two give them a
recognizable tint or plainly cannot do faces.
- **Everything is a rectangle with a background.** Cut-outs go to gpt-image-2.5 with
`background: transparent`, which returns real alpha (the magenta chroma key is kept only as a
fallback for old raws). And they are requested in **sheets of six** — an invisible 3×2 grid —
because a generation costs the same whether it carries one or six. A shot that fails on one
detail is **retouched** image-to-image from its own raw, not re-rolled.
And **logos are never generated**: they are looked up on Wikimedia (Wikidata → P154 → Commons). No
model draws a real logotype without breaking the letters, and a marquee of invented brands reads as
fake instantly.
## Pages built with it
The source repository contains five complete pages built with this server, each with a README
documenting which mechanic was adopted, which was re-dressed and which was discarded **and why**.
Every component in the catalog has a live demo and build notes at
[motionprompts.dev](https://motionprompts.dev/component/).
## What this distribution does NOT carry
**The components' source code.** You get the prompts, the metadata, the composition rule engine and
the server. You do not get each piece's `index.html` / `script.js` / `styles.css`.
That is not a gap: it is how these are meant to be used. **The prompt is the product** — a
self-sufficient brief that rebuilds the mechanic from scratch and adapts it to your page, instead of
pasting someone else's component into it. The example pages were built exactly that way: adopting
mechanics and re-dressing them, not copying code.
`get_component` with `include: ['source']` says so explicitly and returns the live demo and the
prompt URL instead. Everything else — `search_components`, `plan_page`, `suggest_mechanics`,
`get_integration_contract`, `get_component_prompt` — works the same.
## License
**PolyForm Noncommercial 1.0.0** with mandatory attribution. Noncommercial use allowed; commercial
use requires a separate license. Any permitted use must Lo que la gente pregunta sobre motionprompts-mcp
¿Qué es VanguardiaAI/motionprompts-mcp?
+
VanguardiaAI/motionprompts-mcp es mcp servers para el ecosistema de Claude AI. MCP server for motionprompts.dev — production-grade GSAP motion mechanics with composition rules and copy-paste build prompts. Generated mirror; do not edit by hand. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-10-20.
¿Cómo se instala motionprompts-mcp?
+
Puedes instalar motionprompts-mcp clonando el repositorio (https://github.com/VanguardiaAI/motionprompts-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar VanguardiaAI/motionprompts-mcp?
+
Nuestro agente de seguridad ha analizado VanguardiaAI/motionprompts-mcp y le ha asignado un Trust Score de 80/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene VanguardiaAI/motionprompts-mcp?
+
VanguardiaAI/motionprompts-mcp es mantenido por VanguardiaAI. La última actividad registrada en GitHub es del 2026-10-20, con 0 issues abiertos.
¿Hay alternativas a motionprompts-mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega motionprompts-mcp en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/vanguardiaai-motionprompts-mcp)<a href="https://claudewave.com/repo/vanguardiaai-motionprompts-mcp"><img src="https://claudewave.com/api/badge/vanguardiaai-motionprompts-mcp" alt="Featured on ClaudeWave: VanguardiaAI/motionprompts-mcp" width="320" height="64" /></a>Más MCP Servers
Reverse engineer anything with agents, from app behavior down to native binaries.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ A Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev