MCP server

Pixly Official

app.pixly/pixly

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Every visual AI tool for property listings — staging, enhancement, decluttering, cinematic video.

Website

At a glance

Type

MCP server

Publisher

pixly.app (verified by the MCP Registry)

Status

Working at last check

Tools

35

Token cost

About 15,525 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http pixly https://pixly.app/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.pixly]
url = "https://pixly.app/api/mcp"

Gemini CLI

{"mcpServers":{"pixly":{"httpUrl":"https://pixly.app/api/mcp"}}}

Cursor

{"mcpServers":{"pixly":{"url":"https://pixly.app/api/mcp"}}}

VS Code

{"servers":{"pixly":{"type":"http","url":"https://pixly.app/api/mcp"}}}

Antigravity

agy mcp add pixly https://pixly.app/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"pixly","server_url":"https://pixly.app/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"pixly","server_url":"https://pixly.app/api/mcp"}

Tools

• before_after_image ~627 tokens
  Free (no credits): one comparison image from a before and an after photo of the same place — e.g. an empty room and its virtual staging, a daylight shot and its dusk version, a room before and after a restyle. Side by side, stacked, or split by a line; original shape, square, 4:5 or 9:16. Write the
• before_after_reel ~669 tokens
  Before and after video: animate a before→after transformation (e.g. empty room → staged, or a renovation, or a daylight photo → its Day to Night version with videoIntent day_to_night) into a social-ready reveal reel from two photos. Both photos are required. Only have one? Make the other first with
• blur_faces_plates ~362 tokens
  Free (no credits): find and blur people's faces and car licence plates in property photos before they're posted — street and exterior shots, open houses. Automatic detection, 1–5 photos per call. Says so when nothing is found.
• cinematic_motion ~557 tokens
  Photo to video: turn a single listing photo into a short cinematic real estate video with a professional camera move (zoom, orbit, fly-through, crane up…). No second frame needed. Costs credits from the user's Pixly balance.
• create_listing ~165 tokens
  Create a property folder before work on a whole property (a set of listing photos, a walkthrough). Ask the user once which property it is and pass that as title; if they skip, leave title out. Pass the returned listingId to the tools so their results land in it. Costs nothing.
• create_upload_ticket ~263 tokens
  Get a presigned upload URL for a LOCAL image file — the one case a URL can't cover. PUT the file to uploadUrl with the same Content-Type, then pass the returned r2Path to a generation tool instead of imageUrl. Ticket expires in 1 hour.
• day_to_night ~262 tokens
  Day to dusk (virtual twilight): turn a daytime listing photo into a magazine-style evening scene — lights on, warm glow, dusk sky — with the building and camera angle unchanged. Costs credits from the user's Pixly balance.
• declutter_photo ~247 tokens
  Remove clutter, mess, and personal items from a listing photo while keeping the room, furniture, and architecture intact. Costs credits from the user's Pixly balance.
• draw_floor_plan ~1128 tokens
  Free (no credits): draw a clean 2D floor plan from a layout YOU write — read the user's description, or look at their hand sketch or brochure plan, and send every room as a rectangle in metres (or feet) plus doors and windows. Returns the drawn plan (areas and dimensions on it) at once, saved so the
• edit_staged_photo ~647 tokens
  Change one thing in a photo and keep everything else exactly as it is — the parts the edit doesn't touch are copied from the photo, not redrawn. Works on any photo: a staged room, any Pixly result, or the user's own picture (swap the sofa, recolour a wall, remove a car, change the words on a sign).
• enhance_photo ~259 tokens
  Real estate photo editing in one step: turn an amateur listing photo into a finished, professional photo (exposure, color, clarity). Returns 3 variants to pick from. Costs credits from the user's Pixly balance.
• flythrough_video ~478 tokens
  Flythrough video: one continuous camera move through a home from 2-4 room photos in walking order. Each pair of neighbouring photos becomes a 3-second move that flies from one room into the next, and the moves are stitched into one film with a cinematic speed ramp. Returns one job: poll get_job unti
• get_checkout_link ~309 tokens
  Use when a tool fails for lack of credits or a plan. Returns a Stripe Checkout URL for the user to pay on — this never charges anything by itself, and you cannot pay for them. With no active plan it is a subscription (plans: starter (Starter: $5.99/week, 20 credits); agent (Agent: $19.99/month, 100
• get_credit_balance ~58 tokens
  The user's current Pixly credit balance and plan.
• get_job ~182 tokens
  Check a generation job's status and fetch result URLs when it's done. Video jobs take 1-5 minutes — poll this with a few seconds between calls. For several jobs at once (a plan's steps), pass jobIds.
• list_library ~242 tokens
  List the user's recent generations, or with type "uploads" their own uploaded source photos, newest first. Uploads are the way in when the photo is a local file: connectors cannot send bytes, so the user adds it at https://pixly.app/app and you pick up the r2Path here.
• list_listings ~119 tokens
  The user's property folders (a listing such as "12 Oak St" holds that property's photos, staged versions, edits, videos and floor plan): id, title, how many photos and videos. Use when the user names a property, or before work for one, so results land in its folder.
• makeover_exterior ~746 tokens
  Design the garden of an exterior listing photo as one coherent scheme — planting, a terrace or deck, a pool, a pergola, a fire pit, a fence, lighting — in a chosen style, at the right scale and perspective, while the house, its roof, the driveway, the sun direction and the neighbours stay exactly as
• photo_to_video ~714 tokens
  Turn a start photo — and optionally an end photo — into a video. With an end photo the camera travels from the first photo and lands exactly on the second (e.g. two views of the same kitchen → an orbit around the island). Pick a ready-made camera move or write your own prompt; choose the model, leng
• plan_photos ~713 tokens
  Several listing photos at once: one plan of photo steps (straighten, enhance, sky, lawn, staging, declutter…) with one total and one confirmation, instead of a confirm per photo. The first call runs nothing: it returns each step's cost, the total and a confirmationCode, and the Pixly card shows the
• plot_sign ~380 tokens
  Place a photorealistic 3D monument sign with your exact text (price, area, SOLD) onto a photo of an empty plot, matched to perspective and lighting. Costs credits from the user's Pixly balance.
• remove_furniture ~579 tokens
  Remove furniture from a photo: empty a room and rebuild the surfaces behind what was taken out, keeping the architecture and camera angle identical — the blank canvas for restaging. By default it also removes the room's own joinery (fitted kitchen, built-in wardrobes, bathroom fixtures); mode 'movab
• render_floor_plan ~439 tokens
  Turn a picture of any floor plan — a hand sketch, a photo of a brochure page, a blueprint, a screenshot — into a polished real-estate floor plan: a furnished top-down 2D plan with real floors and room names, or a 3D isometric cutaway. The rooms, walls, doors and windows are kept exactly as drawn; no
• replace_lawn ~398 tokens
  Turn patchy, brown or bare grass in an exterior listing photo into a healthy green lawn, leaving driveways, paths, beds and the house untouched. Costs credits from the user's Pixly balance.
• replace_sky ~471 tokens
  Replace a grey, overcast or blown-out sky in an exterior listing photo with a natural clear blue sky, matching the light and keeping the building, trees and reflections unchanged. A run takes about 1–2 minutes; poll get_job until it completes. Costs credits from the user's Pixly balance.
• reset_season ~405 tokens
  Photograph the same property in another season: take the snow off the ground, the roof and the branches and put the garden in leaf, or move a summer shot to autumn or winter. The house, the driveway, the paths and the camera angle stay exactly as shot. Costs credits from the user's Pixly balance.
• restyle_room ~1393 tokens
  Give one or more surfaces of a room a new finish — repaint the walls, change the floor, reface the kitchen cabinets and worktop, retile the bathroom or refinish the furniture — while the room's layout, fittings, windows and camera angle stay exactly as shot. Costs credits from the user's Pixly balan
• straighten_photo ~300 tokens
  Free (no credits): automatically straighten a property photo — leaning walls made vertical (converging verticals from a tilted camera) and a tilted horizon levelled, like a pro photographer's lens correction. Crops the edges slightly. Best before staging or any other edit. Says so when the photo is
• touch_up_exterior ~367 tokens
  One-click retouch of an exterior listing photo: a natural sky where it is dull, a healthy lawn where the grass is dead, a clean driveway, and bins, hoses and other clutter removed — each only where needed, with the house unchanged. Costs credits from the user's Pixly balance.
• update_listing ~116 tokens
  Rename one of the user's property folders, only when they ask.
• upload_image_from_url ~142 tokens
  Rarely needed: generation tools take an imageUrl directly. Use this only to import a photo into Pixly ahead of time, e.g. to reuse one URL across several tools without refetching it each time.
• upscale_hd ~286 tokens
  Enlarge a photo by up to four times with real detail, to a maximum of 4096 px on the long edge — for print, MLS uploads and large screens. Nothing in the photo changes. Free on any result Pixly made (pass its r2Path from list_library); 1 credit on your own photo. Costs credits from the user's Pixly
• view_pixly_photo ~220 tokens
  Look at one of the user's Pixly photos or videos (a video gives its first frame) — returns a small copy of the picture you can see. Use it before writing anything about a Pixly result: a caption, a listing description, what changed. You cannot see Pixly results otherwise. Free; changes nothing. Text
• virtual_staging ~823 tokens
  AI virtual staging: furnish and style an empty (or badly furnished) room photo in a chosen interior design style — also the tool for "redesign this room" or "show this room in another style". HD, watermark-free results. Costs credits from the user's Pixly balance.
• watermark_photos ~459 tokens
  Free (no credits): put the agent's or agency's mark on listing photos — text (name, phone) and/or the logo saved on their Pixly account — in a corner or the middle, up to 10 photos per call. Returns every marked photo at once.

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