Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Video production: recording, editing, effects, captions, TTS, screenshots. 8 tools.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"video": {
"command": "npx",
"args": [
"-y",
"@studiomeyer/mcp-video"
]
}
}
}Run this in your terminal
claude mcp add video -- npx -y @studiomeyer/mcp-videoPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"video": {
"command": "npx",
"args": [
"-y",
"@studiomeyer/mcp-video"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"video": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@studiomeyer/mcp-video"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified against the domain studiomeyer.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.4) reached the registry 5 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Part of the [StudioMeyer MCP Stack](https://studiomeyer.io) — Built in Mallorca 🌴 · ⭐ if you use it
Cinema-grade video production for AI agents.
8 MCP tools for recording, editing, effects, captions, TTS, and smart screenshots.
Built on ffmpeg and Playwright. Works with any MCP client.
Features · Quick Start · Examples · Architecture
We have been building tools and systems for ourselves for the past two years. The fact that this repo is small and has few stars is not because it is new. It is because we only just decided to share what we have built. It is not a fresh experiment, it is a long story with a recent commit.
We love building things and sharing them. We do not love social media tactics, growth hacks, or chasing stars and followers. So this repo is small. The code is real, it gets used, issues get answered. Judge for yourself.
If it helps you, sharing, testing, and feedback help us. If it could be better, an issue is more useful. If you build something with it, tell us at hello@studiomeyer.io. That genuinely makes our day.
From a small studio in Palma de Mallorca.
| Tool | Operations | Description |
|---|---|---|
video_record | cinema, scroll, multi-device | Record websites at 60fps with frame-by-frame capture |
video_edit | speed, crop, reverse, keyframe, pip | Edit clips with zoom/pan, PiP, slow-mo |
video_color | grade, effect, lut, chroma | Color grading, 22 LUT presets, green screen |
video_audio | extract, music, ducking, mix, voice | Audio extraction, mixing, 9 voice effects |
video_text | subtitles, caption, overlay, animate | Burn SRT, Whisper auto-caption, 15 text animations |
video_compose | concat, intro, social, beat-sync, templates | Join clips, social format conversion, beat sync |
video_speech | generate, voices, narrated | ElevenLabs/OpenAI TTS, full narrated videos |
video_screenshot | capture, detect | Element-aware screenshots, page feature detection |
cinematic and showcase for buttery smooth scrolling.npx playwright install chromium)ELEVENLABS_API_KEY for ElevenLabs TTSOPENAI_API_KEY for Whisper captions and OpenAI TTSIf ffmpeg lives outside PATH, set FFMPEG_PATH and FFPROBE_PATH to the absolute binary paths. Both env vars are honoured at startup AND at every runtime spawn site.
{
"mcpServers": { "video": { "command": "npx", "args": ["-y", "@studiomeyer/mcp-video"] } } }
npx @studiomeyer/mcp-video
git clone https://github.com/studiomeyer-io/mcp-video.git
cd mcp-video npm install npx playwright install chromium npm run build npm start
# Start as HTTP microservice
npx @studiomeyer/mcp-video --http --port=9847
MCP_HTTP=1 MCP_PORT=9847 npx @studiomeyer/mcp-video
| Environment Variable | Default | Description |
|---|---|---|
VIDEO_OUTPUT_DIR | ./output | Directory for generated files |
FFMPEG_PATH | — | Absolute path to ffmpeg binary if not on PATH |
FFPROBE_PATH | — | Absolute path to ffprobe binary if not on PATH |
ELEVENLABS_API_KEY | — | ElevenLabs TTS API key |
OPENAI_API_KEY | — | OpenAI API key (Whisper + TTS) |
MCP_HTTP | false | Enable HTTP transport |
MCP_PORT | 9847 | HTTP port |
MCP_HOST | 127.0.0.1 | HTTP bind address |
MCP_VIDEO_DEBUG | false | Enable debug logging |
MCP_VIDEO_ALLOW_INTERNAL | false | Set to 1 to allow URLs that resolve to localhost / private / metadata IPs. Local dev only — leave unset in production (SSRF guard). |
| Use Case | Tools Used | Output |
|---|---|---|
| Product demo video | video_record → video_text → video_audio | 60fps website recording + auto-captions + background music |
| Social media clips | video_record → video_compose | Record once → export to Instagram Reel, TikTok, YouTube Short |
| Narrated explainer | video_speech → video_color | AI voiceover + cinematic color grade |
| Before/after comparison | video_screenshot → video_edit | Smart element screenshots + PiP composition |
| Automated QA | video_record + video_screenshot | Record user flows + screenshot specific elements |
Use video_record with type "cinema" to record https://example.com
with a smooth scroll and hover over the navbar.
Use video_speech with type "narrated" to create a narrated video of
https://example.com with these segments:
Use video_text with type "caption" to add auto-generated captions
to /path/to/video.mp4
Use video_compose with type "social-all" to convert
/path/to/video.mp4 to all social media formats.
Use video_screenshot with type "capture" to screenshot the chat widget
and pricing section on https://example.com
src/
server.ts Entry point, 8 consolidated MCP tools lib/ Logger, types, dual transport handlers/ Tool handlers (video, editing, post-production, tts, screenshots) schemas/ JSON Schema definitions for legacy tool format tools/ engine/ Core engines capture.ts Frame-by-frame recording (Playwright → PNG → ffmpeg) encoder.ts ffmpeg encoding pipeline scenes.ts Scene execution (scroll, hover, click, type, wait) cursor.ts Visible cursor simulation smart-screenshot.ts Element-aware screenshot engine tts.ts ElevenLabs + OpenAI TTS with fallback narrated-video.ts Full narration pipeline social-format.ts Social media format conversion concat.ts Video concatenation with transitions lut-presets.ts 22 cinema LUT presets ...and more
npm run dev # Start with tsx (hot reload)
npm run typecheck # Type check npm test # Run tests npm run check # Verify ffmpeg/ffprobe installed
StudioMeyer is an AI and design studio based in Palma de Mallorca, working with clients worldwide. We build custom websites and AI infrastructure for small and medium businesses. Production stack on Claude Agent SDK, MCP and n8n, with Sentry, Langfuse and LangGraph for observability and an in-house guard layer.
MIT
Built by StudioMeyer. Part of our open-source toolkit for AI-powered content creation.