feather
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@feathercompress all PNG files in ~/Pictures to webp quality medium"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Feather
Make videos, images, GIFs and PDFs lighter — entirely on your device.
Feather is a fast, open-source media compressor for macOS (Windows & Linux builds coming). Drop files in, pick a quality, get smaller files. Nothing is uploaded, ever.
Download
Easiest — one line in Terminal (downloads the latest release, installs to Applications, and grants it access to open):
curl -fsSL https://raw.githubusercontent.com/FirasLatrech/feather/main/install.sh | shOr grab the .dmg from the latest release →.
Feather isn't notarized yet (it's open source, not signed by a paid Apple developer account), so if you install the
dmg by hand macOS says "Feather is damaged" — it isn't; run xattr -cr /Applications/Feather.app once and open it.
FFmpeg is downloaded by Feather itself on first launch if you don't have it. Ghostscript (PDF only) can be installed from Settings.
Related MCP server: ffmpeg-mcp
Features
Video — H.264 / H.265 / VP9 / AV1, hardware encoding (Apple VideoToolbox) always on, target file size, resize, frame rate, trim, remove audio, video → GIF, extract MP3. Bitrate-aware: never spends more bits than the source.
Images — JPG (mozjpeg), PNG (oxipng), WebP, AVIF, HEIC/TIFF input, resize, keep metadata. Never produces a larger file.
GIF — per-file palette + dithering, resize, fps.
PDF — Ghostscript presets from print quality to screen.
Batch with bounded parallelism, live speed × / ETA, size & time estimates before you press Compress.
Auto-compress: watch folders (e.g. Downloads) and compress whatever lands there; optionally replace the original.
Per-file setting overrides, output folder / naming templates, replace-in-place, move to Trash, keep dates.
History with stats, notifications, light/dark theme.
CLI & MCP (AI agents)
Feather ships feather-cli inside the app bundle (Feather.app/Contents/MacOS/feather-cli) — a command-line
tool and an MCP server, so Claude, Cursor or any MCP client can compress
files on your machine.
# Terminal
feather-cli compress ~/Movies/*.mp4 --quality good --max 1920
feather-cli compress photo.heic --format webp --out ~/Desktop
feather-cli probe video.mov · feather-cli estimate *.png --quality medium · feather-cli history
# Claude Code
claude mcp add feather -- /Applications/Feather.app/Contents/MacOS/feather-cli mcp
# Claude Desktop / Cursor (mcp.json)
{ "mcpServers": { "feather": { "command": "/Applications/Feather.app/Contents/MacOS/feather-cli", "args": ["mcp"] } } }MCP tools: compress (paths, quality, format, max, out, replace, no_audio, codec, target_mb — with progress
notifications), probe, estimate, history. Destructive options (replace) are only applied when passed explicitly.
Settings → AI agents · MCP shows the exact commands with copy buttons.
Requirements
macOS 13+ (Apple Silicon or Intel)
FFmpeg —
brew install ffmpegGhostscript for PDFs (optional) —
brew install ghostscript
Development
pnpm install
pnpm tauri dev # desktop app
pnpm dev # UI only, in the browser with a mocked backend (add ?demo=files)
cd src-tauri && FEATHER_SAMPLES=/path/to/samples cargo test # engine tests against real ffmpeg/gsStack: Tauri 2 (Rust) · React · TypeScript · Vite.
Engine: FFmpeg for video/GIF, Ghostscript for PDF, pure-Rust image codecs (image, mozjpeg, oxipng, webp, ravif).
Screenshots
Drop zone | Dark theme, batch running |
|
|
Contributing
Issues and PRs are welcome. Run pnpm tauri dev for the app, pnpm dev for the UI in a browser (mock backend,
?demo=files|running|done), and cargo test in src-tauri (set FEATHER_SAMPLES to a folder with sample media
to run the encoder tests).
Roadmap
See PLAN.md.
License
MIT © Firas Latrach
This server cannot be deployed
Maintenance
Related MCP Connectors
MCP server for Hailuo (MiniMax) AI video generation
MCP server for Google Veo AI video generation
MCP server for Clipkit — gives AI agents a video toolbox via the Clipkit schema.
MCP server for Luma Dream Machine AI video generation
Related MCP Servers
- AlicenseAqualityCmaintenanceAn MCP server for image and video processing that allows AI assistants to resize, convert, compress, and analyze media files locally without API keys. It supports a wide range of formats and provides tools for tasks such as metadata removal, frame extraction, and video conversion.134MIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server that provides 17 FFmpeg-based tools for video and audio processing, including conversion, compression, and editing. It enables AI assistants to perform complex media tasks like extracting audio, adding watermarks, and merging videos using natural language.142 npm2-
- AlicenseAqualityAmaintenanceProvides reversible context compression for AI agents, reducing token usage while preserving the ability to retrieve original content, and serves as an MCP server for integration with tools like GitHub Copilot and Claude Code.31Apache 2.0
- AlicenseAqualityCmaintenanceLocal MCP server that compresses images and videos, extracts video frames, and prepares media for AI vision agents by returning file paths instead of inline base64.65 npm1MIT

