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)
Let Claude listen to audio and watch video: transcribe, summarize and edit recordings and links.
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.
MEDIASENSE_COOKIES_FROM_BROWSERNecesitas
¿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": {
"mediasense": {
"command": "uvx",
"args": [
"mediasense",
"mcp"
],
"env": {
"MEDIASENSE_COOKIES_FROM_BROWSER": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add mediasense --env MEDIASENSE_COOKIES_FROM_BROWSER=your-value -- uvx mediasense mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"mediasense": {
"command": "uvx",
"args": [
"mediasense",
"mcp"
],
"env": {
"MEDIASENSE_COOKIES_FROM_BROWSER": "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": {
"mediasense": {
"type": "stdio",
"command": "uvx",
"args": [
"mediasense",
"mcp"
],
"env": {
"MEDIASENSE_COOKIES_FROM_BROWSER": "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.
MEDIASENSE_COOKIES_FROM_BROWSER 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 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub joaoestella, 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 (0.5.1) llegó al registro ayer.
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:↓ Descargas por semanai★ 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.
Give Claude ears and eyes. Claude can't listen to audio or watch videos on its own; with mediasense it can. Point at a voice message, podcast, recording or meeting, or paste a TikTok, YouTube or Instagram link, in Claude Code or Claude Desktop and ask in plain language. Claude can then transcribe it, summarize it, explain what happens, find the moment something is said, or edit it.
you: what does this voice message say? ~/Downloads/audio-from-maria.opus
you: summarize this https://www.tiktok.com/@someone/video/7350… you: what does he show at 0:30? and what tool is he talking about? you: clean up ~/Desktop/podcast.m4a — remove the "um"s and long pauses you: make short captions for ~/Videos/reel.mp4 you: put intro.mp3 under the first 5 seconds of talk.mp4, ducked
Real output for a 17-second TikTok by @elim.doc, shown with the creator's permission. Regenerate the animation with python docs/make_demo.py.
mediasense runs on your computer: it downloads the link, transcribes speech in ~99 languages with a timestamp for every word, picks key frames at scene changes, and hands Claude a transcript, a shot list and contact-sheet images. Nothing is uploaded anywhere.
Português 🇧🇷
Windows – paste in PowerShell:
irm https://raw.githubusercontent.com/joaoestella/mediasense/main/install.ps1 | iex
macOS / Linux – paste in a terminal:
curl -LsSf https://raw.githubusercontent.com/joaoestella/mediasense/main/install.sh | sh
Then quit Claude Desktop completely (tray/menu-bar icon → Quit), open it again and ask *"summarize this video: "*. The first transcription downloads the speech model (≈ 500 MB).
Prefer to read the script before running it?
irm https://raw.githubusercontent.com/joaoestella/mediasense/main/install.ps1 -OutFile install.ps1
notepad install.ps1 powershell -ExecutionPolicy Bypass -File .\install.ps1
(macOS/Linux: curl -LsSfO …/install.sh, read it, then sh install.sh.)
The installer only installs what is missing — Python 3.12 and FFmpeg via winget (Homebrew/apt on macOS/Linux) and pipx via pip — then pipx installs mediasense from this repository and runs mediasense setup. It stops at the first failed step.
Manual setup (no script)
winget install ffmpeg # macOS: brew install ffmpeg · Linux: sudo apt install ffmpeg
python -m pip install --user pipx python -m pipx ensurepath # then close and reopen the terminal python -m pipx install "mediasense[all]" mediasense setup -n # preview what setup will change mediasense setup mediasense doctor
Use python -m pipx … rather than plain pipx right after installing it: the pipx command only appears on PATH in a new terminal. No Git needed.
As a Claude plugin (skill + server in one)
The repository is also a Claude plugin: installing it adds both the mediasense tools and the skill that tells Claude when to use them. It starts the server with uv, so install uv first (winget install astral-sh.uv · brew install uv · curl -LsSf https://astral.sh/uv/install.sh | sh) plus FFmpeg if you don't have it.
In Claude Code:
/plugin install mediasense --marketplace joaoestella/mediasense
Any other MCP client (Cursor, VS Code, Windsurf…)
mediasense is a standard stdio MCP server, also listed in the official MCP Registry as io.github.joaoestella/mediasense:
{ "mcpServers": { "mediasense": { "command": "uvx", "args": ["mediasense", "mcp"] } } }
Or with a normal install: pipx install mediasense, then use mediasense mcp as the command.
One-click Claude Desktop extension (experimental)
Download [mediasense.mcpb](https://github.com/joaoestella/mediasense/releases/latest/download/mediasense.mcpb) and double-click it (or drag it into Claude Desktop → Settings → Extensions). No Python, pipx or FFmpeg needed: Claude Desktop sets up Python by itself, and FFmpeg is downloaded on first use. The first start takes a few minutes while it installs everything. This uses Claude Desktop's new "UV" extension type, so if it doesn't work on your version, use the installer above.
mediasense setup changesmcpServers.mediasense, to claude_desktop_config.json (%APPDATA%\Claude\ – or %LOCALAPPDATA%\Claude-Data\claude_…\ for the Microsoft Store app – ~/Library/Application Support/Claude/ on macOS, ~/.config/Claude/ on Linux; Claude Desktop → Settings → Developer → Edit Config opens the one your app uses). Everything else in the file is kept, and the previous file is saved next to it as claude_desktop_config.json. .bak. If the file isn't valid JSON, setup stops without touching it.claude mcp add --scope user mediasense -- \mediasense mcp.mediasense setup -n shows the exact changes without making them; --desktop or --code limits it to one app. To undo: remove the mediasense entry from the config file and run claude mcp remove mediasense --scope user.Updating on Windows and pipx says a file "is being used by another process"? Claude Desktop is still running the old server: Get-Process mediasense | Stop-Process -Force, then install again (the installer script does this for you).
Something not working? mediasense doctor checks FFmpeg, the speech model, the GPU, link downloads and the Claude connection.
mediasense comes with a skill: a short guide that makes Claude reach for mediasense whenever you paste a video link, instead of trying to open the page (TikTok & co. block that).
mediasense setup.Downloads/mediasense/), then in Claude open Settings → Skills and upload it. One time only; it syncs to all your devices.Note: Claude Desktop sends files you attach in the chat to the model, not to your computer, so give
mediasense a link or a file path instead (in Claude Code you can drag the file into the terminal).
The server adds ready-made prompts. In Claude Code they appear as /mcp__mediasense__summarize and so on.
| Prompt | Does |
|---|---|
summarize | gist, key points with timestamps, steps, names and links, call to action |
explain_video | shot-by-shot explanation, plus how the video is built (hook, structure) |
clean_up | remove fillers and long pauses, show the plan first, render after your OK |
subtitles | SRT captions, standard or short 1–3-word style for vertical video |
| Tool | What it does |
|---|---|
understand_media | one call: download link, transcribe, key frames + speech per shot, post title/description |
transcribe | speech → .transcript.json with word timestamps; vocabulary fixes brand names |
read_transcript, search_transcript | read a time range or find every time a phrase is said |
plan_edit, render_edit | cut phrases, passages, fillers, silences or ranges; preview, then render |
export_transcript | SRT, VTT, TXT, CSV, JSON |
place_audio | insert a clip at a timestamp (mix / duck / replace) |
watch_video, get_frame | contact sheets, or one frame at a given time |
media_info | duration, resolution, fps, streams |
check_job | result of long work: new videos and the first run reply "still working" and finish in the background |
Long work never hits Claude's tool time limit: if a video takes more than ~30 s (a long video on a CPU, or the very first run while the speech model downloads), the tool answers "still working" with a progress percentage and Claude checks back with check_job until it's done.
All tools accept a file path or a link. Links are downloaded once to ~/Downloads/mediasense (change with MEDIASENSE_HOME) and reused.
Everything also works without Claude:
mediasense understand "https://youtu.be/…" # transcript + shots + metadata, as text
mediasense transcribe talk.mp4 -l pt --vocab "Cloudflare, Claude" --also srt mediasense search talk.transcript.json "next quarter" mediasense edit talk.mp4 --fillers --silences 0.7 -n # -n = only show the plan mediasense edit talk.mp4 --fillers --silences 0.7 --srt --edl --fcpxml mediasense edit talk.mp4 --cut-between "let me check" "okay so" --cut-range 12:03-12:40 mediasense export talk.transcript.json captions.srt --words-per-cue 2 mediasense place video.mp4 voiceover.wav --at 0:12.5 --mode duck mediasense storyboard reel.mp4 mediasense fetch "https://www.tiktok.com/@…/video/…"
Edits never touch the original: results are written as .edited.* / .placed.*. EDL opens in Premiere, Resolve and Avid; FCPXML in Final Cut Pro and Resolve.
--vocab (Claude does this automatically when it can infer the names from the title or the screen).--verbatim when you want to cut them. Real words are protected per language ("um" is an article in Portuguese, so it is never cut there). Ambiguous words like "like", "tipo" or "né" are only removed if you list them.small model (base is faster, medium more accurate). No GPU? --backend openai sends the audio to an OpenAI-compatible transcription API instead (fast on any machine, but the audio leaves your computer). python -m pipx inject mediasense nvidia-cublas-cu12 "nvidia-cudnn-cu12>=9,<10" nvidia-cuda-runtime-cu12
(≈ 1.5 GB; needs a driver that supports CUDA 12 – mediasense doctor checks both). Restart Claude Desktop afterwards.
--backend whisperx (pip install "mediasense[whisperx]").mediasense runs entirely on your computer: no accounts, no analytics, no telemetry, and the author receives no data. It connects to the internet only to download the links you ask about, the speech model (first run), FFmpeg if it's missing, and – only if you choose the openai backend – to send audio to the transcription API you configure. Results stay on your disk until you delete them. When used from Claude, tool results (transcripts, key frames, metadata) are returned to the Clau
Solo se muestra el principio; lee el resto en el repo