Figma Context MCP
by GLips
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Runs on your computer★ 16,165MITUpdated 5 months ago
Install
FFmpeg MCP Server
Overview
Description from the maker (original English)
FFmpeg & FFprobe media processing toolkit for video, audio, and social formats
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Design, images & audio
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
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": {
"ffmpeg": {
"command": "npx",
"args": [
"-y",
"@ash_j1997/ffmpeg-mcp-server"
]
}
}
}Run this in your terminal
claude mcp add ffmpeg -- npx -y @ash_j1997/ffmpeg-mcp-serverOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ffmpeg": {
"command": "npx",
"args": [
"-y",
"@ash_j1997/ffmpeg-mcp-server"
]
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"ffmpeg": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ash_j1997/ffmpeg-mcp-server"
]
}
}
}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.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
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
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Ashutos1997, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Design, images & audioi
- More stars than 0% of the other 2198 servers in this category
- Published to the registry more recently than 94% of the other 2198 servers in this category
- Basic checks equal to or better than 100% of the other 2198 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is FFmpeg MCP Server safe?
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.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
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).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.6.0) reached the registry 2 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Alternatives
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
Claude Real Video
by HUANGCHIHHUNGLeo
Let any LLM watch a video locally — and search everything it has ever watched.
Runs on your computer★ 2,284MITUpdated 2 months ago
Install
Figma MCP Server
by figma
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.
Runs in the cloud★ 2,152Updated 13 months ago
Install
README from the maker
Open the README
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.
ffmpeg-mcp-server
English | 한국어
A Model Context Protocol (MCP) server that gives AI tools access to FFmpeg and FFprobe to process video and audio locally.
Supports cross-platform GPU hardware encoding (Apple Silicon, NVIDIA NVENC, Intel QuickSync, AMD AMF), live progress updates via MCP progress tokens, instant cancellation via AbortSignal, and inlines image previews directly for multimodal vision models.
Why This Exists
When AI agents process media, they often hallucinate invalid flags, syntax errors, or incompatible pixel formats.
This server provides 19 typed tools using Zod schemas. The AI passes parameters (such as { inputPath: "video.mov", preset: "web_mp4" }), and the server runs the valid FFmpeg command locally with proper error handling, hardware acceleration, and progress notifications.
Key Features
- Universal Hardware Acceleration: Automatically detects and leverages hardware encoders across macOS (VideoToolbox), Linux/Windows GPUs (NVIDIA NVENC, Intel QuickSync, AMD AMF, and VA-API) for 5x–20x faster exports with low CPU usage.
- Real-time Progress Reporting: Emits live percentage updates via standard MCP progress tokens (
notifications/progress), enabling progress bars in modern AI clients. - Instant Cancellation: Listens to client
AbortSignalevents to immediately terminate child FFmpeg processes when a generation is stopped. - Multimodal Vision Previews: Inlines base64 image data for thumbnails, audio waveforms, and multi-frame contact sheets so vision models (Claude 3.7, GPT-4o, Gemini) can "see" media content.
- Social Formats & Automation: Reformats landscape video to 9:16 vertical video with blurred backgrounds, burns customizable hardcoded subtitles, and stacks top/bottom split-screen reels for TikTok and Instagram Reels.
- Audio Engineering: Normalizes loudness to broadcast/streaming standards (EBU R128 / -16 LUFS), cleans vocal audio with 80Hz rumble removal, and trims dead air while preserving lip-sync.
- Scene Intelligence & Multiplexing: Detects visual scene changes and cut points for smart editing workflows, and combines or replaces video/audio tracks with zero-loss stream copy.
Included Tools (19 Total)
| Tool | Description | Key Parameters |
|---|---|---|
| `media_probe` | Inspects media files with ffprobe. Returns metadata, streams, codecs, resolution, and duration as JSON. | inputPath |
| `media_convert` | Converts video and audio formats. Includes presets for web MP4, WebM, and animated GIF with GPU acceleration. | inputPath, outputPath, preset, crf, resolution, fps, hardwareAcceleration |
| `trim_media` | Cuts a segment from a video or audio file using stream copy or re-encoding. | inputPath, outputPath, startTime, endTime, duration, accurateReencode |
| `extract_audio` | Rips audio tracks from video. Includes a 16kHz mono WAV preset for Whisper speech recognition. | inputPath, outputPath, format, bitrate |
| `extract_thumbnail` | Captures a still image at a timestamp or midpoint. Returns base64 image data for vision models. | inputPath, outputPath, timestamp, resolution, includeBase64 |
| `compress_video` | Compresses video to fit target sizes (such as GitHub PRs under 10MB or Discord under 25MB). | inputPath, outputPath, targetSizeMB, preset, crf, maxWidth, hardwareAcceleration |
| `reformat_aspect_ratio` | Changes video ratio to 9:16 vertical, 1:1 square, or 4:5 portrait with blurred borders or center crop. | inputPath, outputPath, targetRatio, mode, blurAmount, padColor, hardwareAcceleration |
| `create_split_screen` | Stacks two videos top-and-bottom (9:16 Reels/TikTok) or side-by-side with audio mixing and subtitles. | firstVideoPath, secondVideoPath, outputPath, layout, audioSource, subtitlesPath |
| `trim_silence` | Detects and removes silent pauses from recordings while preserving video & audio lip-sync. | inputPath, outputPath, mode, thresholdDb, minDurationSeconds |
| `concat_media` | Joins multiple video or audio files in order using stream copy or re-encoding. | inputPaths, outputPath, mode |
| `generate_waveform` | Generates a PNG waveform image. Returns base64 image data for vision models. | inputPath, outputPath, width, height, color, scale, includeBase64 |
| `add_subtitles` | Embeds SRT or VTT subtitle tracks into MP4/MKV video files without re-encoding video. | videoPath, subtitlesPath, outputPath, language, title |
| `burn_subtitles` | Hardcodes subtitles directly onto video frames with customizable font size, colors, and margins. | videoPath, subtitlesPath, outputPath, fontSize, fontColor, outlineColor, marginV |
| `extract_keyframes` | Extracts multiple representative frames across the video and generates a contact sheet grid for vision AI. | inputPath, outputPath, count, layout, includeBase64 |
| `normalize_audio` | Normalizes audio loudness using EBU R128 (default -16 LUFS) with optional speech clarity high-pass filter. | inputPath, outputPath, targetLufs, targetPeakDb, voiceClarity |
| `add_overlay` | Places a watermark image or logo PNG over video with customizable corner position, scale, and opacity. | videoPath, overlayPath, outputPath, position, padding, scaleWidth, opacity |
| `change_speed` | Adjusts playback speed (such as 2x fast forward or 0.5x slow motion) with pitch correction. | inputPath, outputPath, speed, muteAudio |
| `mux_media` *(New)* | Combines or replaces video and audio streams with optional audio offset delay and zero-loss stream copy. | videoPath, audioPath, outputPath, mode, audioOffsetSeconds, streamCopyVideo, shortest |
| `detect_scenes` *(New)* | Detects video cut points and scene transitions with adjustable sensitivity. Returns timestamps, scene durations, and an optional contact sheet. | inputPath, threshold, minDurationSeconds, outputPath, includeBase64 |
MCP Resources & Prompts
Resources
- `media://capabilities`: Inspects local FFmpeg installation, active version, detected hardware accelerators (VideoToolbox, NVENC, QSV, AMF, VAAPI), and supported video encoders.
- `media://presets`: Standard reference table of social aspect ratios, platform upload file size limits, and broadcast audio loudness targets.
Prompts
- `social_clip_generator`: Interactive workflow that turns raw landscape video into vertical shorts with blurred background padding, trimmed silence, and hardcoded captions.
- `whisper_audio_prep`: Standard pipeline for extracting 16kHz mono WAV audio and normalizing loudness for speech-to-text models.
Requirements
- Node.js >= 18.0.0
- FFmpeg & FFprobe installed locally:
- macOS:
brew install ffmpeg - Linux (Ubuntu/Debian):
sudo apt update && sudo apt install ffmpeg libass-dev - Windows:
winget install Gyan.FFmpegorchoco install ffmpeg
Installation
Quick Start (Claude Desktop, Cursor, Antigravity)
Run directly with npx (no manual cloning or building required):
{"mcpServers": { "ffmpeg": { "command": "npx", "args": ["-y", "@ash_j1997/ffmpeg-mcp-server"] } } }
Configuration File Locations:
- Claude Desktop (macOS):
~/Library/Application Support/Claude/claude_desktop_config.json - Claude Desktop (Windows):
%APPDATA%\Claude\claude_desktop_config.json - Antigravity IDE:
~/.gemini/config/mcp_config.json - Cursor / Windsurf: Add as a stdio server with command
npxand args["-y", "@ash_j1997/ffmpeg-mcp-server"]
Local Development & Testing
- Install dependencies:
npm install- Run build and automated test suite:
npm testAcknowledgements & Community
Special thanks to @rajarshidattapy for suggesting the stream multiplexing (mux_media) and scene transition detection (detect_scenes) capabilities to expand the server beyond format conversion.
License
MIT © Ashutos1997