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)
Local-first AI video editor: recordings to a finished film, cut by transcript, then verified
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": {
"proofcut": {
"command": "uvx",
"args": [
"proofcut",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add proofcut -- uvx proofcut mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"proofcut": {
"command": "uvx",
"args": [
"proofcut",
"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": {
"proofcut": {
"type": "stdio",
"command": "uvx",
"args": [
"proofcut",
"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 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub tydude001, 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 (0.45.0) llegó al registro hace 32 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) 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.
An AI video editor that proves its cuts. Your recordings in, a finished, mastered film out: cut by transcript, with b-roll, cards, music and captions, and every step an agent can call. proofcut renders on your own machine, then transcribes the render and checks that it says what the edit says.
https://github.com/user-attachments/assets/4153d180-3d7c-4c70-af5f-54d63d0a8bd5
An agent cutting a demo video, unattended, from a goal and no steps.
The two runs it was cut from, uncut
Silent, because the recorder took frames only; the voice is in the film the agent cut. The workspace (2:26) and Claude Code with the proofcut plugin (3:09).
Runs on Linux, where it is developed. macOS and Windows pass the test suite on CI; how far each has gone by hand is § Help wanted.
With uv installed:
uvx proofcut doctor # only looks: what is missing, and the fix for each
uvx proofcut setup --plan # what an install would fetch, and its size; touches nothing uvx proofcut setup # installs it for you alone, no sudo; --uninstall reverses it
Then make the two-minute demo, or give an agent the tools with the Claude Code plugin. § Try it walks all of it.
Most of the work in a narrated video, whether an essay, a tutorial, a screencast or a talk, is bookkeeping. Find the retakes and cut them clean. Put the right footage under each line. Level the music under the voice, caption it, end on a card, render it, master it. An agent can do that bookkeeping now, given an editor it can drive.
What an agent cannot do on its own is know that the file it rendered is the film it meant. ffmpeg, melt and auto-editor all exit 0 on some failures, so a render can drop a line, keep a retake, add a frame of black or carry no captions and still report success. Every check that reads the project rather than the file agrees with it. The usual way to find out is to watch the whole thing.
proofcut is an editor built around that gap. You, or an agent, edit a timeline addressed by the words in it. proofcut renders it on your machine, then transcribes the render, counts its frames, and says where the file and the edit disagree.
Here it is on the demo project. The retake is cut from the edit, and verify is pointed at a render made before the cut:
proofcut -C proj cut vo 11:23 --pad 0.1
proofcut -C proj verify stale.mp4
"expected_words": 34, "heard_words": 47, "similarity": 0.84, "diff": ["--- timeline", "+++ render", "@@ -10,4 +10,17 @@", " video", " editor", "+every", "+cut", "+you", "+make", "+names", "+a", "+um", "+no", "+let", "+me", "+try", "+that", "+again", " every", " cut"]
The file still says the thirteen words the edit took out, and verify names them. A render of the edit as it stands hears all 34 (DEMO.md step 7).
TRIAL.md scores three unattended runs, each handed a goal and no steps, and each passed every one of its checks:
COMPETITORS.md reads every entry from its source, most recently on 2026-09-28. In short:
import-edit, verify checks what they deliver.What proofcut lacks that others have: a check for frozen or silent spans in a render.
Every stage from the first import to the delivered file is a proofcut command. No NLE finishes the film, and nothing else touches the render. Each row links the manual section that walks it.
| Stage | Command |
|---|---|
| Bring in the voiceover and footage, and transcribe | import, transcribe |
| Cut retakes and asides by naming their words | cut vo 111:114 |
| Hang b-roll and cards off the lines they belong to | cue add, card new |
| Open cold on a scene, end on a card | head, tail |
| Play the footage's own lines in a gap, or under the narration | hold add, hold under |
| Score it: placed passages, crossfaded, levelled under the voice | music |
| Pull breaths down without cutting them | attenuate |
| Render and master to a loudness target | export --render --loudness -16 |
| Burn in captions, words fading or blurring in, spelled your way | captions --burn, caption-style --reveal, lexicon add |
| Check the render says what the edit says | verify, frames, hold check |
Two video essays of five to six minutes, first finished in Kdenlive, have been rebuilt with these commands alone and measured against the delivered files. One came out the same length to the frame. The other matched all 63 of its voiceover ranges to the millisecond, with the voice aligned to the sample. Both master at the original's −16 LUFS. The measurements are in HISTORY.md.
Beyond those stages:
cut vo 111:114 names the same words however many cuts came before it, and a cue hung off a phrase stays addressed through every cut around it.shot-sheet draws the whole picture track as one labelled grid, and footage-sheet browses a clip you haven't cut yet. Both return the image itself over MCP, not a path the agent can't open.describe writes what is on screen in each ~10-second window of footage, so an agent can choose a clip by what a line is about.unspoken lets the render itself testify to words nobody said.reframe-detect), a review sheet, and stacked splits for two speakers. Cards are redrawn at the new frame size, never stretched.events) that a crop, a sound or a speed change can hang off, a clip inset into the recording, and a retime for the slow parts..kdenlive or OTIO file and finish anywhere.Tell an agent what film you want. In Claude Code, install the plugin and describe the film: which recording is the voice, what the b-roll is, where the music goes, what it ends on. The agent imports, transcribes, cuts the retakes, hangs footage off the lines it belongs to, scores, masters and checks the render, using proofcut's tools and nothing else. It can look at the picture track as a labelled grid while it works, so it sees what
Solo se muestra el principio; lee el resto en el repo