Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Beautiful screen recordings of any website or desktop app, scripted by your agent.
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.
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": {
"agent-screenplay": {
"command": "npx",
"args": [
"-y",
"agent-screenplay",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add agent-screenplay -- npx -y agent-screenplay mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"agent-screenplay": {
"command": "npx",
"args": [
"-y",
"agent-screenplay",
"mcp"
]
}
}
}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": {
"agent-screenplay": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"agent-screenplay",
"mcp"
]
}
}
}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.
Esta 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 gmpetrov, 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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
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 (0.1.7) llegó al registro hace 4 días.
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: Spec Driven Development, Remote Desktop Commander, MemberVault MCP by usefulapi
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
List courses; add users to courses, remove course access or delete users in MemberVault.
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.
https://github.com/user-attachments/assets/dd9898da-4900-4a91-8620-57a860c46093
Create beautiful screen recordings with one prompt. Any website, yours or someone else's, or any desktop app. Works with Claude Code, Codex, Cursor and any MCP client.
Ask your agent: *"Make a video that shows how human handoff works"*. The agent explores the site or app and writes a short scenario; Screenplay plays it in a browser (or a desktop app), films it, and edits the video like Screen Studio would: smooth cursor, automatic zooms that follow the action, click effects, callouts, spotlight, captions, title cards, and an optional voice-over.
Screenplay contains no AI and needs no model key: your agent does the thinking, Screenplay does the filming and editing.
npx agent-screenplay init
The npm package is agent-screenplay; installed globally (npm i -g agent-screenplay), its command is screenplay.
init downloads Chromium (once), adds the Screenplay MCP server to the agents it finds (Claude Code, Codex, Cursor), and installs the guide that teaches them to make good videos. Restart your agent after it.
In Claude Code, type /screenplay and say what you want:
/screenplay Make a 30-second walkthrough of https://askli.co
/screenplay Film how to invite a teammate in our app, with a French voice-over
In Codex, Cursor or any agent with the MCP server, just ask: *"Make a screen recording of …"*. The agent explores the site, asks whether you want a voice-over, writes the scenario, films it, checks the storyboard and gives you the MP4. To change the look afterwards: npx agent-screenplay style .
Without MCP, any agent that can run commands can use the CLI directly:
npx agent-screenplay guide # how to write a good scenario
npx agent-screenplay check demo.json # plays the steps fast, without filming npx agent-screenplay record demo.json # films and edits → demo.mp4 + demo.storyboard.png npx agent-screenplay render demo.json # re-edits the last take (style, zoom, text, voice) without filming
Requirements: Node 20+. ffmpeg and the drawing library ship with the package.
{
"url": "https://app.example.com/inbox", "style": { "background": "dawn" }, "steps": [ { "title": "Human handoff, in one click", "subtitle": "New in 2.4" }, { "click": "text=Camille Laurent", "say": "When the AI agent gets stuck, the conversation lands in your inbox." }, { "callout": "role=button[name='Take over']", "text": "Take over from the AI agent" }, { "click": "role=button[name='Take over']", "say": "One click, and the conversation is yours." }, { "type": "Hi Camille, I'm on it.", "into": "placeholder=Write a reply…" }, { "click": "role=button[name='Send']" }, { "highlight": "text=Assigned to you", "text": "Your teammates see it's yours" }, { "end": "Available today on every plan" } ] }
text=…, role=button[name='…'], label=…, placeholder=…, testid=…, css=… (web only), at=x,y (desktop apps without accessible elements only).goto, click, type, press, hover, scroll, select, wait, pause.title and end cards, callout (a bubble pointing at an element), highlight (spotlight), zoomTo, and on any step say (caption and voice), zoom, hold.dawn, iris, citrus, apricot, coral, blaze, cloud, glacier, tide, meadow), your own gradient, a color or an image; padding, corner radius, shadow, the cursor (arrow by default, a rounded arrow in the accent color; macos, dot) and its click effect (ripple by default; rays, confetti, sparkle), maximum zoom, browser frame, accent color. See Style.The full format is the JSON schema in schema/scenario.schema.json (npx agent-screenplay schema), and the agent guide in skills/screenplay/SKILL.md. Examples are in examples/.
check and record really perform the steps (a "Send" click sends): point scenarios at a demo account or a staging environment.
Set the look by eye: npx agent-screenplay style demo.json opens an editor in your browser, on a frame of the last recording. Pick a gradient (or make your own), a color or an image (drop it on the page), set the padding, corners and shadow, then save to this video or to all videos, and render without filming again.
"All videos" writes screenplay.config.json, which applies to every scenario in its folder and below; a scenario's own style wins, setting by setting. The same settings by hand:
{
"style": { "background": { "gradient": ["#0ea5e9", "#6366f1"], "angle": 135 }, "padding": 96, "radius": 20, "shadow": true } }
Title and end cards (title and end steps) are off by default: turn them on with "cards": true, or with the switch in the editor.
background is a preset name (dawn by default; earlier presets such as aurora or ocean still work), a color ("#0f172a"), an image path (relative to the file that sets it), or { "gradient": [2 to 4 colors], "angle": degrees }.
npx agent-screenplay login https://app.example.com opens a browser window: sign in, then close the window. The session is saved to .screenplay/auth.json (while you go, and when the window closes; Enter in the terminal works too). Use it with "auth": { "storageState": ".screenplay/auth.json" }. Keep that file out of git.check says so: run login on that site, pass the check in the window, close it, and set auth.storageState. Some sites ask again on every visit; those cannot be filmed automatically.{ "type": "${EMAIL}", "into": "label=Email" }, { "type": "${PASSWORD}", "into": "label=Password", "secret": true }. ${VAR} is read from the environment; secret masks the text in captions and logs.Off by default. Turn it on per scenario:
"voice": { "enabled": true, "language": "fr" }
Each step's say is spoken, and the video waits for each sentence to finish, so the voice sets the pace. Three ways to get the voice:
CARTESIA_API_KEY.ELEVENLABS_API_KEY. When both keys are set, Cartesia is used unless "provider": "elevenlabs"."audio": "voice/02.mp3" (MP3, WAV, M4A…), for instance lines you generated in ElevenLabs' or Cartesia's web app, or with a local TTS model (Piper, Kokoro…) that your agent runs for you. The agent can write the narration for you, one line per step, ready to paste there. Adding audio needs no new filming: render.Narration is cached: re-rendering with unchanged text costs nothing. voice.id picks another voice, voice.speed its pace. Without voice, say still shows as a caption.
Use "app": " " instead of "url". The steps are played through the operating system's accessibility APIs by agent-desktop (installed with Screenplay), and the window is filmed with ffmpeg without the system cursor; the editing is the same as for websites.
| Needs | |
|---|---|
| macOS | Allow your terminal or agent app in System Settings → Privacy & Security → Screen Recording and Accessibility |
| Windows | Nothing |
| Linux | An X11 session with the AT-SPI accessibility bus (standard on GNOME). Wayland is not supported: it blocks screen capture and synthetic input by design |
Desktop recordings need a real screen: they cannot run in a headless container. Websites can.
While Screenplay drives the computer, a pill at the top of the screen says so ("Screenplay is recording", or "rehearsing" during a check), with a Stop button that ends the run at once. The pill is left out of the capture, so it is never in the video. macOS and Windows; SCREENPLAY_INDICATOR=0 turns it off.
"screen": true films the whole main screen instead of one window, for videos that go from one app to another or use the menu bar. { "open": " " } launches an app or brings it to the front, a step's "app" acts in another app, and "surface": "menubar" (or menu, sheet, popover, alert) finds elements outside the app's window. Everything on screen is filmed, desktop icons and notifications included: tidy the screen first; on macOS "hideOthers": true hides the other apps.
scenario.json ──▶ play + film ──────────────────▶ take (frames + timeline of actions)
web: Playwright, headless Chromium │ desktop: agent-desktop + ffmpeg ▼ edit: time remap (long waits sped up), camera (spring zooms), cursor path, overlays, captions, voice track │ ▼ draw each frame (Skia) → ffmpeg → MP4
Screenplay knows exactly where and when each click happens, and the box of every element it acts on, so zooms are framed on the element instead of guessed from mouse movement. The cursor is drawn during editing, along a smooth human-like path.
npm install
npm run build npm test # unit tests npm run test:e2e # records a real scenario in headless Chromium and talks to the MCP server
npm version patch --no-git-tag-version # or minor / major; also updates src/version.ts
Merge that change, then tag the commit on main:
git tag v0.1.4 origin/main && git push origin v0.1.4
The tag starts .github/workflows/release.yml. It checks that the tag matches the version and is on main, runs the tests, publishes to npm (with provenance) and creates the GitHub release with notes from the merged pull requests. A version like 0.2.0-beta.1 goes to npm's next tag. Creating a release in GitHub's UI with a new tag works too.
examples/demo-app is a small web app for trying scenarios; examples/desktop-app/notes.py is a GTK app for desktop recording on Linux.
MIT. Bundled: Inter (SIL Open Font License), ffmpeg through ffmpeg-static (GPL), agent-desktop (Apache-2.0).