Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Let Claude listen to audio and watch video: transcribe, summarize and edit recordings and links.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
MEDIASENSE_COOKIES_FROM_BROWSER필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"mediasense": {
"command": "uvx",
"args": [
"mediasense",
"mcp"
],
"env": {
"MEDIASENSE_COOKIES_FROM_BROWSER": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add mediasense --env MEDIASENSE_COOKIES_FROM_BROWSER=your-value -- uvx mediasense mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"mediasense": {
"command": "uvx",
"args": [
"mediasense",
"mcp"
],
"env": {
"MEDIASENSE_COOKIES_FROM_BROWSER": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"mediasense": {
"type": "stdio",
"command": "uvx",
"args": [
"mediasense",
"mcp"
],
"env": {
"MEDIASENSE_COOKIES_FROM_BROWSER": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
MEDIASENSE_COOKIES_FROM_BROWSER env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 joaoestella 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.5.1)은 어제 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요