Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Hosted video editing for AI agents: cut, caption, mix and export real video. Sign in with OAuth.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://api.cuttingfloor.ai/mcpターミナルでこれを実行します
claude mcp add --transport http cuttingfloor https://api.cuttingfloor.ai/mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"cuttingfloor": {
"url": "https://api.cuttingfloor.ai/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"cuttingfloor": {
"type": "http",
"url": "https://api.cuttingfloor.ai/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://api.cuttingfloor.ai/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
このサーバーのツール一覧はまだ読み取っていません。エンドポイントは順番にチェックしています。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント Mvp2o-ai で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
555ミリ秒で応答(HTTP 200)
サインイン不要
まだチェックしていません。エンドポイントをチェックするときにツール一覧を読み取ります
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック2項目のうち2項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は–、最新バージョン(0.36.1)がレジストリに届いたのは今日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
A headless video editor for agents, as an MCP server. An agent imports footage, cuts it on a timeline with granular editing tools, looks at the result after every edit, checks it, and exports a file.
What it covers: import, cutting on words, timing, transitions, titles and captions, audio, effects, analysis (transcripts, beats, faces, tracking, scenes), compositing, motion graphics and stills from HTML, voiceover, cut-outs, stems, stabilizing, upscaling, lip-sync, previews, QA checks, and export to MP4, ProRes, GIF and audio or to Final Cut, Premiere and Resolve (FCPXML, OTIO, EDL). Every tool: cuttingfloor.ai/features. Use it from Kazi, Claude, ChatGPT or any MCP app.
Sign up at cuttingfloor.ai (three days free), then add https://api.cuttingfloor.ai/mcp as a remote MCP server in Claude, ChatGPT, Cursor, Kazi or any client that takes one. The client opens the sign-in itself (OAuth). Nothing to install; transcription, voiceover, cutouts and rendering run on our servers. The official MCP Registry entry lists the same address.
docker compose up -d # local mode: one node on 127.0.0.1:8787, plus the motion sandbox
Compose starts two containers from the same image: cuttingfloor (the server) and cuttingfloor-motion, the sandbox where agent-written HTML for create.motion and create.still renders. The sandbox has no route out, no data volume, no capabilities, a read-only filesystem and fixed CPU, memory and process limits. Chromium's own sandbox stays on inside it, using the seccomp profile at tools/motion/seccomp.json (Docker's default plus namespace creation). Run compose from a checkout of this repository so that file is there.
Connect an MCP client over Streamable HTTP:
{ "mcpServers": { "cuttingfloor": { "url": "http://127.0.0.1:8787/mcp" } } }
Or over stdio, for clients that only launch commands. The stdio process forwards to the running container, so long exports keep going after the client exits:
{ "mcpServers": { "cuttingfloor": { "command": "docker", "args": ["exec", "-i", "cuttingfloor", "cuttingfloor", "mcp"] } } }
Folders (set them in a .env next to compose.yaml, see .env.example):
| On your machine | In the container | What |
|---|---|---|
$CUTTINGFLOOR_MEDIA (default ~/Movies) | /media/videos (read-only) | Footage. Import with {"path": "/media/videos/clip.mp4"} |
$CUTTINGFLOOR_EXPORTS (default ~/cuttingfloor/exports) | /exports | Finished exports |
Docker volume cuttingfloor-data | /data | Timelines, proxies, jobs (with time limits) |
Provider keys are yours (bring your own) and go in the same .env, or in Docker secrets (/run/secrets/ ). They never pass through a tool, and video://server/health shows only whether each is set. create.lipsync needs SYNC_API_KEY from sync. labs (Settings → API keys); they bill your account for each second sent. Run docker compose up -d after adding one.
The image includes /samples/sample.mp4 (10 s test pattern with a tone) and /samples/card.png to try things with nothing mounted.
On Docker Desktop for Mac, raise the memory limit for long 4K timelines; bind-mounted footage reads go through VirtioFS. On Linux, create the exports folder before the first start so it belongs to you.
media.import each file. It's long-running: a task for clients that support MCP Tasks, otherwise a job_id to poll with job.get. The media_id is usable once the job reports processing.media.analyze turns media into data an agent can edit with: transcript (every word with its time; whisper.cpp on the CPU, the model downloads once), beats (tempo, beats, downbeats), faces (face boxes over time) and track (follow a region). Then cut by words with clip.add {source: {words: [i, j]}} and caption with caption.add {in_clip: {clip_id, segments}}, timed in the media's seconds. media.seek finds moments from plain words, so an agent doesn't have to watch the whole video: give it criteria like {too_dark: "the faces are too dark to make out their eyes", demo: "the product dashboard fills the screen"} and it returns the stretches of a video, or of an edit as it renders, where each one holds, with the best frame of each. Use it to check quality, find where something starts, pick shots, spot changes or find room for a title. TypeSafe Jev judges the frames and needs TYPESAFE_API_KEY.timeline.create with a sequence ({width, height, fps: {num, den}}).clip.add, clip.trim (with side for J/L cuts), clip.split, clip.move, clip.remove (with ripple), clip.link, track.*, or edit.batch to apply many edits at once, using {"$ref": "ops[0].clip_id"} for ids made earlier in the batch.clip.set_speed (constant rate, a speed-ramp curve, reverse; pitch is kept), clip.freeze, clip.roll, clip.slip, clip.slide, clip.replace, and range.extract / range.lift to cut a span out of every track at once. clip.add {nested_timeline_id} nests a whole timeline as one clip.transition.add at the cut after a clip: dissolve, dip to black or white, wipes, slides, pushes, zooms, iris and spin. Linked audio crossfades at the same cut. By default the clips overlap and later clips move earlier; mode: "handles" uses source past the cut and moves nothing.title.add and caption.add (from segments with word timings, or from SRT/VTT) put text on a video track, rendered with libass: font, size, colour, outline, shadow, box, karaoke and word highlights, typewriter and word reveals. text.set restyles many at once. Fonts are listed at video://catalog/fonts; import your own .ttf/.otf with media.import and use it with font_media_id.audio.set_gain (dB, with keyframes for rides), audio.set_pan, audio.fade and audio.set_master (gain and a limiter ceiling on the whole mix). Audio edits preview as a waveform image with the measured loudness.filter.add on a clip, every clip on a track, or the whole timeline: colour (brightness, contrast, saturation, exposure, temperature, curves, LUTs imported as .cube), blur, sharpen, vignette, grain, glitch, pixelate, chroma key; for sound EQ, compressor, noise reduction, de-esser, dialogue enhance, reverb, echo, pitch. adjustment.add adds a clip whose effects change everything below it while it runs. The list with params is at video://catalog/effects.clip.set_transform (position, scale, rotation, opacity, crop, flip, fit; any number can take keyframes with easing), clip.set_mask (rectangle, ellipse, linear, mirror, heart, star, polygon), clip.set_blend and clip.set_animation (entrance, exit and loop presets). The accepted names are resources at video://catalog/{name}.create.motion renders any animated HTML to a video with alpha, frame-exactly: CSS animations and transitions, the Web Animations API, SVG, canvas or WebGL drawn in requestAnimationFrame, timers, or a window.__seek(seconds) the page defines all run on a virtual clock the renderer steps one frame at a time. anime.js, three.js, Lottie and D3 load from lib/ ( ). create.still renders an HTML page to a PNG, and create.matte makes a solid or gradient picture. Each returns a media_id for clip.add; the same recipe returns the same media. Pages can't reach the network, so images and fonts go in as assets (imported media) and are referred to as assets/ . create.voiceover speaks English text in one of 28 Kokoro voices on the CPU (the model, about 350 MB, downloads once) and times every word, so caption.add {in_clip} can caption it exactly. create.cutout removes the background behind a subject: any (BiRefNet; products, animals, objects, people; the default for pictures; needs about 3 GB of memory free for Docker) or people (MODNet; fast enough for video, the default there), keeping the sound. create.lipsync makes someone on camera say new words: give the video, the new speech (a re-recorded line or a voiceover) and the span of the video to change, and their mouth is redrawn to match by sync. labs on your own key (SYNC_API_KEY locally, the X-Cuttingfloor-Key-Sync header hosted). Only the span is sent; the result is that span, to place over the original.preview: "inline" on any edit returns the image; render.frames returns up to 16 frames as a contact sheet, or up to 4 at full size (size: "full") for thumbnails.qa.check measures the render: gaps, offline media, frame count, loudness and true peak, plus black and silent stretches with the settings you give. Facts, no verdicts.export.video with a preset: web_1080p_h264, master_prores_422hq, social_9x16_h264, web_1080p_av1, gif, audio_wav_48k or audio_mp3, and overrides for size, frame rate, bitrate or quality (video://catalog/presets). The result has a signed download URL and, locally, the file in your exports folder.export.timeline hands the edit to another editor as FCPXML (Final Cut Pro, Resolve), OTIO (Premiere, Resolve) or a CMX 3600 EDL, or writes the captions as SRT or VTT, with warnings for what the format can't carry. media: "collect" zips the media alongside. timeline.get stays the lossless copy.Time is integer frames at the sequence rate, end-exclusive. timeline.get returns the whole timeline as JSON; timeline.load restores it after it expires. video://server/health reports engine versions and limits.
The same image with CUTTINGFLOOR_MODE=hosted: no path imports (URLs only), no exports folder, and every request needs Authorization: Bearer from CUTTINGFLOOR_API_KEYS (owner:key,owner2:key2, or the cuttingfloor_api_keys Docker secret). Each key's owner has separate timelines, media and jobs. CUTTINGFLOOR_PUBLIC_URL is required: download links are built from it, and the server won't start without it.
Provider keys hosted come from the client, never from the server's environment: the MCP client sends each one as a header in its server config, X-Cuttingfloor-Key- , for example X-Cuttingfloor-Key-Sync: for create.lipsync. The key is used for that request and the job it starts, then dropped; it is never stored or logged. A tool that needs a key you haven't sent answers credential_required, naming the header.
{ "mcpServers": { "cuttingfloor": { "url": "https://api.cuttingfloor.ai/mcp", "headers": { "X-Cuttingfloor-Key-Sync": "<key>" } } } }
| Variable | Default | |
|---|---|---|
CUTTINGFLOOR_DATA | /data | Data root |
CUTTINGFLOOR_MAX_JOBS | cores ÷ 4 | Concurrent imports, exports and QA runs (sandbox jobs queue in the sandbox instead) |
CUTTINGFLOOR_HEAVY_JOBS | 1 | Concurrent create.cutout and create.stems runs, in their own slots apart from the jobs above |
| CUTTINGFLOOR_SHORT_JOBS | 1 | Extra job slots only short jobs take (an analysis, check or export of at most `CUTTINGFLOOR_SHORT_JOB_SE
冒頭だけを表示しています。続きはリポジトリで読めます