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)
Turn a script into a narrated product tour video: real browser, captions, voice, MP4.
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.
TOURWRIGHT_API_URL, TOURWRIGHT_API_TOKENLos 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 …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"tourwright": {
"command": "npx",
"args": [
"-y",
"tourwright",
"mcp"
],
"env": {
"TOURWRIGHT_API_URL": "your-value",
"TOURWRIGHT_API_TOKEN": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add tourwright --env TOURWRIGHT_API_URL=your-value --env TOURWRIGHT_API_TOKEN=your-value -- npx -y tourwright mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"tourwright": {
"command": "npx",
"args": [
"-y",
"tourwright",
"mcp"
],
"env": {
"TOURWRIGHT_API_URL": "your-value",
"TOURWRIGHT_API_TOKEN": "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": {
"tourwright": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tourwright",
"mcp"
],
"env": {
"TOURWRIGHT_API_URL": "your-value",
"TOURWRIGHT_API_TOKEN": "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.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
TOURWRIGHT_API_URL envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub CXmiloxx, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
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 1 de 1 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: TOURWRIGHT_API_TOKEN
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (2.6.1) llegó al registro hoy.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
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.
Narrated product tours and how-to videos, without editing. Click through your app once, or ask your AI agent for the video: Tourwright writes the script, films a real browser in a studio frame, guides the eye to each element, speaks with a natural voice and delivers an .mp4 with captions, chapters and a thumbnail. When the UI changes, you render again. Built for people *and* AI agents, on any server, from a laptop to a cluster.
*Leer en español*
Made by Tourwright from examples/app.yaml , with nobody at the keyboard. ▶ Watch it with sound (77 s)
# tour.yaml
title: Your first invoice voice: lessac baseUrl: https://app.example.com steps:
tourwright render tour.yaml # → videos/tour/tour.mp4 (+ captions.srt/.vtt, .jpg, .json)
Screen recorders (Loom) and click-through demo tools (Arcade, Supademo, Scribe) need a person to record, and every redesign means recording again. Tourwright videos are code:
| Screen recorder | Demo SaaS | Tourwright | |
|---|---|---|---|
| Re-record after a UI change | by hand | by hand | tourwright render |
| Knows when a video went stale | no | no | tourwright check in CI names the broken step and the fix |
| Narration | your voice, retakes | none or extra | text-to-speech in many voices, offline or online |
| Same tour for 50 customers or languages | 50 recordings | 50 demos | one script with {{variables}} |
| Personal data on screen | edit it out | edit it out | mask replaces it with invented data |
| Lives in | a vendor's cloud | a vendor's cloud | your git repo, your servers; MIT |
| AI agents can make one | no | no | MCP server and a Claude Code plugin |
2/4 badge explains it and the camera pushes in, right on the word the voice is saying.tourwright install --pocket), Piper (offline, open source, light), Microsoft Edge neural voices, any OpenAI-compatible TTS server (OpenAI, Kokoro, LocalAI…), or your own command. Every sentence is cached: re-rendering never re-synthesizes.[[1s]]), a pronunciation dictionary, sound presets (warm, radio, podcast…), click, typing and other sound effects, music with fades.{{name}}, also from the CLI or the API), reusable blocks, repeats, conditions and steps that may fail. One script, many videos..mp4 with chapters and the captions drawn on it, .srt, .vtt, thumbnail and a JSON manifest (duration, chapters, captions) for automation.docker run --rm -v "$PWD:/work" -w /work ghcr.io/cxmiloxx/tourwright render examples/slides.yaml --out videos/
A full service (API + 2 workers + Redis):
cp .env.example .env # set TOURWRIGHT_API_TOKENS
docker compose up -d --build docker compose up -d --scale worker=6
Node.js 22+, on Linux, macOS or Windows:
npm install -g tourwright
tourwright install # ffmpeg, Piper + voices, edge-tts, Chromium (no root) tourwright install --plan # only show what it would use from this PC and what it would download tourwright config set quality fullhd # your own defaults: quality, voice, fps… (tourwright config lists them) tourwright record https://app.example.com --out tour.yaml # do the tour by hand: you get the script and the video tourwright guide tour.yaml --open # the same tour as a step-by-step guide with screenshots (HTML, PDF, Markdown) tourwright narrate tour.yaml --write # your AI (Claude, OpenAI, Ollama) rewrites the narration from the screens tourwright translate tour.yaml --to en # the same video in English (or pt, fr, de, it): tour.en.yaml tourwright check videos/*.yaml # which videos broke after a deploy, at which step, and the fix tourwright fix tour.yaml --write # puts the new targets in the script tourwright render tour.yaml --step 7 # film one step with its voice, without the whole video tourwright install --pocket # + Pocket TTS: natural offline voices (about 1 GB) tourwright clean # what each part takes on disk; removes downloads and leftovers tourwright doctor # what works on this machine
Without installing anything globally: npx tourwright . With pnpm: pnpm add -g tourwright (on 2.0.0, add --no-optional).
The Redis queue and Claude for narrate are optional: install bullmq ioredis or @anthropic-ai/sdk next to Tourwright when you use them (npm install -g bullmq ioredis). The Docker image already has them.
Node.js 22+. tourwright install puts ffmpeg, Piper, voices, edge-tts and Chromium in TOURWRIGHT_HOME, with no root or admin rights; what the system already has is kept.
git clone https://github.com/CXmiloxx/tourwright && cd tourwright
./scripts/install.sh # Linux / macOS (Windows: powershell -ExecutionPolicy Bypass -File scripts\install.ps1) node bin/tourwright.js doctor # what works on this machine npm link # optional: the tourwright command
Each piece is looked for on the PC first and only downloaded when it is missing:
| Linux (x64, arm64) | macOS (Intel, Apple Silicon) | Windows 10/11 (x64, ARM) | |
|---|---|---|---|
| Chromium | Chrome, Edge or Chromium (apt, dnf, pacman, Raspberry Pi OS), else downloaded | Chrome, Edge or Chromium, else downloaded | Chrome or Edge, else downloaded |
| ffmpeg | PATH, Homebrew, Nix, else downloaded | Homebrew, MacPorts, Nix, else brew install ffmpeg | PATH, winget, scoop, Chocolatey, C:fmpeg, else downloaded |
| Piper (offline voices) | PATH, pip, pipx, conda, else downloaded | PATH, pip, pipx, conda, else piper-tts | PATH, pip, pipx, conda, else downloaded |
| Piper voices | Hugging Face cache, TOURWRIGHT_PIPER_VOICE_DIRS, else downloaded | same | same |
| edge-tts (Microsoft voices) | PATH, pip, pipx, conda, else installed | same | same |
| Python (for edge-tts, Pocket, Whisper) | the system's 3.10–3.13, else 3.12 is downloaded | same | same (not the Microsoft Store stub) |
| Capture | screen with Xvfb (sharpest), else screencast | screencast | screencast |
Also reused: a Chromium left by another Playwright or Puppeteer version, and CHROME_PATH, CHROME_BIN or PUPPETEER_EXECUTABLE_PATH. Snap and Flatpak browsers are skipped (their sandbox blocks Playwright). TOURWRIGHT_SYSTEM_BROWSER=0 always uses Playwright's own Chromium. tourwright doctor shows what was found.
Nothing is installed on the system: what is downloaded lives in one folder (TOURWRIGHT_HOME), and the Python packages run in a virtual environment, so yours is never changed. To uninstall, delete that folder.
Xvfb (apt install xvfb, Linux only) gives the sharpest capture; without it Tourwright records headless (screencast), which works everywhere Chromium runs. Clients of the HTTP API or MCP can be on any system.
From a site to a video, without writing selectors by hand:
tourwright explore https://app.example.com/login --draft app.yaml # asks for the login, writes the script
tourwright render app.yaml --dry-run # checks every step in seconds tourwright render app.yaml --open # the video, in ./videos/app/
The draft goes through every section of the site with narration taken from its pages; edit it in your words. Credentials are asked for once, never shown and never written in the script (tourwright secret list; tourwright forget deletes them).
tourwright init video.yaml # an example script
tourwright validate video.yaml tourwright render video.yaml --dry-run # runs every step fast: tests selectors, no voice/video tourwright render video.yaml --safe # the same, pressing nothing: no real sign-up, payment or SMS tourwright render video.yaml --keep # keeps the recording: tourwright recompose videos/video remakes it without the browser tourwright render video.yaml --quality fullhd --voice salome --out out/ tourwright voices # voices available here tourwright install-voice en_GB-alba-medium # any voice from huggingface.co/rhasspy/piper-voices tourwright say "Hello there" --voice lessac --out hello.wav
The script format, every action and the voices: [docs/SCRIPTS.md](docs/SCRIPTS.md). JSON Schema for editors and agents: schema/script.schema.json.
TOURWRIGHT_API_TOKENS=secret tourwright serve --worker --port 4700
curl -X POST localhost:4700/v1/jobs -H 'authorization: Bearer secret' -H 'content-type: application/json' \ -d '{"script": {"type": "slides", "slides": [{"title": "Hello", "say": "Hello from the API."}]}}' curl localhost:4700/v1/jobs/ -H 'authorization: Bearer secret' # → status, result, download links
Endpoints, assets, webhooks: docs/API.md.
Claude Code, as a plugin (the MCP server plus a skill that writes, checks and renders the script):
/plugin marketplace add CXmiloxx/tourwright
/plugin install tourwright@tourwright
Any other MCP client (Claude Desktop, Cursor, VS Code…):
{ "mcpServers": { "tourwright": { "command": "tourwright", "args": ["mcp"] } } }
Tools: tourwright_guide, tourwright_voices, tourwright_validate, tourwright_check, `tourwr
Solo se muestra el principio; lee el resto en el repo