Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
AI interior, exterior and landscape design, photoreal rendering, image editing, video and 3D.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
LUW_API_KEY, LUW_OUTPUT_DIR, AuthorizationLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"luw": {
"command": "npx",
"args": [
"-y",
"@luw-ai/mcp"
],
"env": {
"LUW_API_KEY": "your-value",
"LUW_OUTPUT_DIR": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http luw https://mcp.luw.ai/mcp --header 'Authorization: your-value'claude mcp add luw --env LUW_API_KEY=your-value --env LUW_OUTPUT_DIR=your-value -- npx -y @luw-ai/mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"luw": {
"url": "https://mcp.luw.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"luw": {
"command": "npx",
"args": [
"-y",
"@luw-ai/mcp"
],
"env": {
"LUW_API_KEY": "your-value",
"LUW_OUTPUT_DIR": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"luw": {
"type": "http",
"url": "https://mcp.luw.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"luw": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@luw-ai/mcp"
],
"env": {
"LUW_API_KEY": "your-value",
"LUW_OUTPUT_DIR": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
LUW_OUTPUT_DIR envAuthorization secreto HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
El servidor pide iniciar sesión antes de mostrar sus herramientas.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con el dominio luw.ai (el registro comprueba quién es dueño del dominio)
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Respondió en 528 ms (HTTP 401)
Declara inicio de sesión con OAuth, así que tu app de IA puede llevarte a iniciar sesión
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 3 de 3 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: LUW_API_KEY, Authorization
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
El repo de GitHub cambió por última vez –, y la última versión (0.3.7) llegó al registro hoy.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Official Luw.ai MCP server
AI interior, exterior and landscape design, photoreal rendering, image editing, video and 3D,
inside ChatGPT, Claude, Cursor, VS Code, Windsurf, Codex and any other MCP client.
You: Redesign ~/Desktop/living-room.jpg in Japandi style, give me 2 options.
Claude: ⟶ luw_interior_design ✓ 2 designs in 21s [shows both images] You: Love the first one. Make the sofa green velvet, then turn it into a fly-through video. Claude: ⟶ luw_edit_image ⟶ luw_generate_video ✓
Add `https://mcp.luw.ai/mcp` to your client and sign in to Luw.ai. Nothing to install, no key to copy: signing in creates one for you. New accounts get free credits. To disconnect, delete that key on the API page.
Claude (claude.ai, Claude Desktop, mobile)
*Settings → Connectors → Add custom connector*, paste https://mcp.luw.ai/mcp, then Connect and sign in to Luw.ai.
Claude Code
claude mcp add --transport http luw https://mcp.luw.ai/mcp --scope user
Then type /mcp, pick luw and sign in.
ChatGPT
Open Luw.ai in ChatGPT, add it and sign in to Luw.ai.
The Luw Studio tools aren't in ChatGPT's directory yet; add them yourself: *Settings → Apps & Connectors → Advanced settings*, turn on Developer mode, then Create: URL https://mcp.luw.ai/studio, authentication OAuth, and sign in.
Cursor
Click Add to Cursor above, or add to ~/.cursor/mcp.json:
{
"mcpServers": { "luw": { "url": "https://mcp.luw.ai/mcp" } } }
Cursor shows Needs login next to luw; click it to sign in.
VS Code (Copilot)
Click Install in VS Code above, or add to .vscode/mcp.json:
{
"servers": { "luw": { "type": "http", "url": "https://mcp.luw.ai/mcp" } } }
VS Code asks you to sign in the first time a tool runs.
Any other client with remote MCP support
| URL | https://mcp.luw.ai/mcp |
| Transport | Streamable HTTP |
| Auth | Sign in (MCP OAuth), or header Authorization: Bearer YOUR_LUW_API_KEY |
For a client that can't sign in, create a key at app.luw.ai/dashboard/api and send it as a header:
{
"mcpServers": { "luw": { "url": "https://mcp.luw.ai/mcp", "headers": { "Authorization": "Bearer YOUR_LUW_API_KEY" } } } }
If it can neither sign in nor send headers, use https://mcp.luw.ai/mcp?api_key=YOUR_LUW_API_KEY. Anyone who has that URL can spend your credits, so keep it private.
The hosted server is stateless and stores nothing; your key goes straight to the Luw.ai API on each request. It can't read files from your computer, so give it image URLs, or use the local setup below.
The local server runs on your machine with npx, so it can read paths like ~/Desktop/room.jpg. It needs Node.js 18+ and an API key from app.luw.ai/dashboard/api.
Claude Code
claude mcp add luw --scope user --env LUW_API_KEY=YOUR_LUW_API_KEY -- npx -y @luw-ai/mcp
Or install it as a plugin. Claude Code asks for your key and keeps it in secure storage:
claude plugin marketplace add Luvi-io/luw-mcp
claude plugin install luw@luw-ai
</details>
Claude Desktop
One click: download luw.mcpb, double-click it, paste your API key. No Node.js needed.
Or add this to claude_desktop_config.json (*Settings → Developer → Edit Config*):
{
"mcpServers": { "luw": { "command": "npx", "args": ["-y", "@luw-ai/mcp"], "env": { "LUW_API_KEY": "YOUR_LUW_API_KEY" } } } }
</details>
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": { "luw": { "command": "npx", "args": ["-y", "@luw-ai/mcp"], "env": { "LUW_API_KEY": "YOUR_LUW_API_KEY" } } } }
</details>
VS Code (Copilot)
Add to .vscode/mcp.json. VS Code asks for your key and keeps it in its secret storage:
{
"inputs": [{ "type": "promptString", "id": "luw_api_key", "description": "Luw.ai API key", "password": true }], "servers": { "luw": { "command": "npx", "args": ["-y", "@luw-ai/mcp"], "env": { "LUW_API_KEY": "${input:luw_api_key}" } } } }
</details>
Windsurf (Devin Desktop)
Add to ~/.config/devin/mcp_config.json (Windows: %APPDATA%\devin\mcp_config.json). Older Windsurf versions use ~/.codeium/windsurf/mcp_config.json.
{
"mcpServers": { "luw": { "command": "npx", "args": ["-y", "@luw-ai/mcp"], "env": { "LUW_API_KEY": "YOUR_LUW_API_KEY" } } } }
</details>
OpenAI Codex CLI
codex mcp add luw --env LUW_API_KEY=YOUR_LUW_API_KEY -- npx -y @luw-ai/mcp
Or in ~/.codex/config.toml:
[mcp_servers.luw]
command = "npx" args = ["-y", "@luw-ai/mcp"] env = { LUW_API_KEY = "YOUR_LUW_API_KEY" }
</details>
Gemini CLI
gemini extensions install https://github.com/Luvi-io/luw-mcp
Gemini CLI asks for your key and keeps it in the system keychain. Or add to ~/.gemini/settings.json:
{
"mcpServers": { "luw": { "command": "npx", "args": ["-y", "@luw-ai/mcp"], "env": { "LUW_API_KEY": "YOUR_LUW_API_KEY" } } } }
</details>
Kiro
Click Add to Kiro above, confirm, then replace YOUR_LUW_API_KEY in Kiro's MCP config.
Windows: if npx isn't found, use "command": "cmd", "args": ["/c", "npx", "-y", "@luw-ai/mcp"].
~/Downloads/bedroom.jpg) as Mid-Century Modern, 3 variations."*plan-sketch.png as a photoreal modern villa at golden hour."*Built-in prompts show up as slash commands or prompt templates in your client: redesign_room, stage_empty_room, sketch_to_render, product_shot.
| Tool | What it does | Credits |
|---|---|---|
luw_interior_design | Redesign a room in any style; empty_room for virtual staging | 1 |
luw_exterior_design | Redesign a facade or building exterior | 1 |
luw_sketch_to_render | Sketch or drawing to photoreal render | 1 |
luw_render | 3D, CAD or clay view to photoreal render | 1 |
luw_edit_image | Edit any image with a sentence (Magic Prompt); 2K/4K | 1 |
luw_magic_wand | Masked edit: replace, remove, or apply a material | 1 |
luw_landscape_design | Gardens and outdoor areas, matched to climate and sun | 1 |
luw_upscale_image | Enhance and enlarge 2/4/8× | 1 |
luw_expand_image | Outpaint a cropped photo to a wider view | 1 |
luw_remove_furniture | Empty a furnished room | 1 |
luw_vectorize_image | Photo or drawing to SVG | 1 |
luw_background | Remove a background, or replace it with a generated scene | 1 |
luw_segment | Object masks (all objects, or by prompt) as image URLs | 1 |
luw_generate_image | Text to image (Fluw), or format: "svg" for vectors | 2 |
luw_generate_pattern | Seamless, tileable textures and patterns | 1 |
luw_generate_video | Image to cinematic video with 12 camera motions, optionally ending on an end_image | 10 (20 with Symphony) |
luw_image_to_3d | Photos to a textured 3D model (GLB) | 3 (8 with Symphony) |
luw_archigpt | Ask ArchiGPT, an AI architect, a standalone question (accepts images) | 1 per ~3k words |
luw_get_result | Collect a long-running job (free) | 0 |
luw_list_options | Valid styles, room and building types, camera motions, materials (free) | 0 |
luw_upload_file | Upload a file to Luw.ai storage and get a URL (free) | 0 |
luw_run_model | Call any Luw.ai model with raw API parameters (local server only) | varies |
luw_personas | Personas: reusable style identity, training images and slots (local server only) | 0 |
luw_projects | Projects (boards), folders and media (local server only; hosted: luw://projects resources) | 0 |
luw_team | Enterprise: credits, usage, members, invitations (opt-in) | 0 |
Every generation uses your Luw.ai credits. Variations are billed one generation each.
Luw Studio designs buildings in 3D. With the studio tools, your assistant edits your Studio projects directly: rooms, walls, doors and windows, stairs, roofs, furniture and finishes. Each edit is saved to the project as it is made, and a Studio tab that has the project open shows it within seconds.
Solo se muestra el principio; lee el resto en el repo