viberoom
This server enables AI agents to manage and non-destructively edit photos through a comprehensive set of tools.
Library Management: Open a photo library from a local folder (
set_library), list images with filters like rating, flag, edit status, sorting, and pagination (list_images), retrieve full metadata for an image (get_image), and get the image currently selected in the web UI (get_current_image).Metadata Editing: Set star ratings (
set_rating), flags as pick/reject/unflagged (set_flag), add/edit/list keywords and color labels, and perform batch updates for ratings, flags, labels, and keywords.Non-Destructive Editing: Work with edit recipes: fetch (
get_recipe), merge-patch changes (update_recipe), replace entirely (set_recipe), or reset to original (reset_recipe). Auto-calculate white balance, tone, and vibrance adjustments (auto_adjust). Apply detailed per-image edits including white balance (temperature, tint), tone (exposure, contrast, highlights, shadows, whites, blacks, curves), color (saturation, vibrance, HSL, color grading), detail (sharpening, noise reduction), geometry (rotate, flip, crop, aspect ratio), and effects (vignette, grain). Create and manage local adjustments using linear, radial, luminance, and color range masks. Save, apply, list, and delete named develop presets.Preview & Export: Render a JPEG preview with all edits applied (
render_preview), export the final image as an sRGB JPEG with configurable quality and resizing (export_image), and batch-export multiple images.Schema Access: Retrieve the complete JSON schema for all recipe parameters and their valid ranges (
get_recipe_schema).
Click on "Install 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., "@viberoomopen ~/Photos/shoot, reject blurry, rate keepers, warm up by 500K, export picks at 85."
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.
Viberoom is a RAW photo manager and non-destructive editor you can drive by hand or by agent. Edit with the full develop UI in the browser β or tell Claude Code "reject the blurry ones, warm up the sunsets, export the picks" and it happens through MCP, REST, or plain JSON sidecar files.
π§Ύ Non-destructive, always. Every edit is a readable
photo.CR3.vibe.jsonnext to the original. Delete the sidecar, get your pixels back.π· Real RAW. LibRaw decoding (CR2/CR3, NEF, ARW, RAF, DNG, β¦) plus JPEG/PNG/TIFF/HEIC.
ποΈ The whole develop kit β in the UI and the API. WB, tone, curves, HSL, color grading, LUTs, sharpening/NR, lens & perspective corrections, heal/clone, grain β and local masks: gradients, luminance/color ranges, brushes, AI subject/sky masks. Everything the API can do is reachable from the interface, and vice versa.
π€ Bring your own agent. The app is a PWA that exposes its tools to whatever agent your browser provides, via WebMCP β it no longer launches an agent of its own. Outside the browser,
viberoom-mcpdrives it from Claude Code.ποΈ DAM things. Ratings, flags, labels, keywords, collections (smart too), stacks, dupes, history, snapshots, virtual copies, multi-folder catalogs.
π₯ In and out. Card ingest, tethered capture, HDR & pano merge, ML enhance (
viberoom[ml]), XMP interop, batch everything, color-managed export (sRGB β ProPhoto) with watermarks and soft proofing.
Setup from source
Version | Why | |
Python | 3.12+ |
|
Node | 20.19+ or 22.12+ | what Vite 8 requires |
pnpm | 10+ |
|
any recent | resolves and runs the backend |
Nothing else. LibRaw and the image codecs arrive inside the rawpy and Pillow
wheels, so there's no Homebrew/apt step and no compiler needed for the web app.
git clone https://github.com/RatulMaharaj/viberoom.git
cd viberoom
uv sync # backend deps into .venv (uv installs Python if missing)
pnpm --dir frontend install
pnpm --dir frontend build # typechecks, then writes frontend/dist
uv run viberoom # UI + API β http://127.0.0.1:8423Open it, point it at a folder of photos. That's it β no database to provision, no config file.
Optional extras:
uv sync --extra ml # AI subject/sky masks, face detection, ML enhance
# (onnxruntime + rembg; weights download on first use)Other ways to run:
uv run dev # hacking: backend --reload + Vite (:7666 "ROOM" β :8423 "VIBE")If something's off: pnpm build failing on syntax that looks fine usually
means Node is below the Vite floor (node -v), and a uv sync that resolves
oddly usually means an old uv (uv self update). The frontend must be built at
least once β without frontend/dist the backend serves the API but no UI.
Related MCP server: rawtherapee-mcp-server
Run it as a PWA (no backend)
The frontend is also a standalone progressive web app: it reads your photo folder straight off disk with the File System Access API, decodes RAW with LibRaw compiled to WebAssembly, and develops on the GPU. Nothing is uploaded β there is no server to upload to. Sidecars and thumbnails are written back into your own folder and its browser-local cache.
Chrome or Edge, on desktop. Safari, Firefox and every browser on iOS lack the File System Access API; the app says so up front rather than failing halfway in.
Install it from the address-bar install icon to get a standalone window.
Offline. A service worker precaches the app shell, and the LibRaw wasm is cached the first time a RAW is decoded, so a second visit works with no network at all.
Updates ship by pushing to
main: the host rebuilds and deploys the static site, and open tabs get a "a new version of Viberoom is ready" prompt instead of silently running last month's build.
What works in the browser
Browsing, rating, flagging, EXIF filtering and sorting, RAW decode and thumbnails, the whole develop panel, crop and straighten, and export to JPEG or PNG. The GPU renders tone, colour, HSL, grading, blurs, clarity, dehaze, lens corrections, geometry, LUTs and masks β checked against the Python engine at the float32 noise floor across 89 parity cases.
RAW decoding matches the desktop app closely: Apple DNG differs by 1 part in 65535, Canon CR3, Sony ARW and Nikon NEF by around a hundredth of that.
What needs the Python package
Some of this is a browser limit; most of it is simply unbuilt. The app never guesses β a photo whose edits it cannot draw shows the original with a badge, and export refuses by name and reason rather than writing a file missing your edits.
Why | Could the browser do it? | |
Claude Code sidebar | A page cannot start a process | No. Use WebMCP with a browser agent, or |
Tethered capture | Needs USB and a camera SDK | No |
X3F (Sigma Foveon) | Absent from the WebAssembly LibRaw build | Yes, with a rebuilt binary |
Retouch (heal/clone) | Per-spot work, sequentially dependent | Yes, but it is a real project |
AI subject masks | Needs a segmentation network | Yes, via onnxruntime-web |
Auto-adjust | Histogram analysis, currently in Python | Yes β a port, not a rewrite |
Grain, sharpening, defringe | Unported shader work; defringe needs a whole-frame reduction | Yes, defringe least easily |
16-bit PNG, TIFF, ICC profiles | Unbuilt encoders | Yes |
Watermarks, output sharpening | Unbuilt | Yes |
Collections, stacks, duplicates | Catalog features, no browser store yet | Yes |
Face detection, HDR/pano merge | Server-side compute | Yes, with more wasm |
The short version: the only permanent limits are the ones that need a process or a USB device. Everything else is work someone has not done yet.
Hosting it
The build is a static site β no server, no functions, nothing to run.
wrangler.toml points Cloudflare at the built files and turns on SPA routing,
so /edit/<id> survives a reload. Cache headers live in
frontend/public/_headers, beside the app, so they travel with it.
On a host without an SPA setting of its own β Netlify, for instance β add
/* /index.html 200 to frontend/public/_redirects. Do not ship both:
Cloudflare serves the shell and the catch-all rule then matches that too,
which it rejects as an infinite loop.
Leave Root directory empty, so the paths below match wrangler.toml:
Setting | Value |
Build command |
|
Deploy command |
|
Cloudflare treats a repository containing wrangler.toml as a Workers project
and runs wrangler deploy, so the config uses [assets] rather than the older
Pages key β a static site is served the same way either route.
Only a subpath deploy needs VITE_BASE β / is the default and is what a
domain root wants:
VITE_BASE=/viberoom/ pnpm --dir frontend build # e.g. GitHub PagesLet an agent drive
claude mcp add --transport http viberoom http://127.0.0.1:8423/mcpThe MCP server is mounted on the viberoom server itself β just a URL, no paths
to keep in sync. ~45 tools, from list_images to update_recipe (the
workhorse merge-patch) to render_preview β which returns the rendered image,
so the agent can look at its own edits and iterate. Then just talk:
"Open ~/Photos/shoot-42, reject anything blurry, rate the keepers, warm the sunset shots by 500K with +0.3 EV, and export all picks at quality 85."
Prefer HTTP? Everything is REST under /api/v1 (docs at /api/v1/docs):
curl 'localhost:8423/api/v1/images?rating_gte=4&flag=pick'
curl -X PATCH localhost:8423/api/v1/images/<id>/recipe \
-d '{"tone": {"exposure": 0.5}}' -H 'Content-Type: application/json'Prefer files? Edit the .vibe.json sidecar directly and POST /library/scan:
{
"rating": 4,
"flag": "pick",
"recipe": {
"whiteBalance": { "temp": 6500 },
"tone": { "exposure": 0.5, "clarity": 15 },
"masks": [{ "type": "radial", "center": [0.5, 0.4], "radiusX": 0.3,
"radiusY": 0.25, "adjustments": { "exposure": 0.6 } }]
}
}The full recipe grammar (every param, range, and the pipeline order) is one
call away: GET /api/v1/recipe/schema β or the get_recipe_schema MCP tool.
The math is Lightroom-like, not a clone.
Is it actually correct? (benchmarks)
viberoom-bench keeps the pipeline honest, cheapest check first:
uv run viberoom-bench regress # 26 recipes vs a pinned baseline; the CI gate.
# catches a 0.5% exposure drift in <1s
uv run viberoom-bench chart # 24 ColorChecker patches, mean dE2000
uv run viberoom-bench pack # ~260 MB CC0 RAW pack (X-Trans, Foveon, CRAWβ¦)
uv run viberoom-bench compare --against libraw darktable
uv run viberoom-bench auto # degrade β recover β score, no dataset needed
uv run viberoom-bench reference --inputs raw/ --references expertC/compare treats libraw as an oracle (a no-op render must match its neutral
decode: 53β55 dB PSNR on Bayer) and darktable as a reference (different
rendering philosophy, so dE 5β14 means "same neighbourhood", not "bug").
auto degrades an image by a known amount and scores the recovery β exact
ground truth, no dataset (wb mode is the real pass/fail; --strategy auto
is diagnostic only). reference scores auto-adjust against expert retouches β
if auto isn't beating noop, it's making things worse. viberoom-bench datasets lists where the big datasets live and what each one proves.
Development
uv run pytest # backend
pnpm --dir frontend build # frontend typecheck + buildState lives in <library>/.viberoom/ β a disposable SQLite index (sidecars are
the source of truth) and the preview cache. Exports land in
<library>/exports/ unless you pick another folder.
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
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