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Sudomock MCP

by sudomockversion 3.9.1i★ –iRuns on your computer
Registry nameio.github.sudomock/mcp

Install

Overview

Description from the maker (original English)

Turn product photos or PSDs into photorealistic mockups: place artwork, edit text, fix tile seams.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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: Other
  • You need to fill in: SUDOMOCK_API_KEY

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).
  • You fill in yourself: SUDOMOCK_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "sudomock": {
      "command": "npx",
      "args": [
        "-y",
        "@sudomock/mcp"
      ],
      "env": {
        "SUDOMOCK_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add sudomock --env SUDOMOCK_API_KEY=your-value -- npx -y @sudomock/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "sudomock": {
      "command": "npx",
      "args": [
        "-y",
        "@sudomock/mcp"
      ],
      "env": {
        "SUDOMOCK_API_KEY": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "sudomock": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@sudomock/mcp"
      ],
      "env": {
        "SUDOMOCK_API_KEY": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • SUDOMOCK_API_KEY secret required env
    Your SudoMock API key starting with sm_

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 sudomock, 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 Otheri

  • More stars than 0% of the other 32558 servers in this category
  • Published to the registry more recently than 98% of the other 32558 servers in this category
  • Basic checks equal to or better than 100% of the other 32558 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 Sudomock MCP 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?

You need to fill in: SUDOMOCK_API_KEY

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 (3.9.1) reached the registry today.

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: Spec Driven Development, Remote Desktop Commander, FactLot

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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FactLot

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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.

SudoMock MCP Server

Generate photorealistic product mockups from Claude, Cursor, Windsurf, and VS Code.

Model Context Protocol server for the SudoMock mockup generation API. Upload PSD templates, place artwork onto smart objects, edit supported text layers, and get rendered image URLs -- all through natural language.

Quick Start

This is a local stdio server: your MCP client launches it as a child process via npx and authenticates with your SUDOMOCK_API_KEY.

claude mcp add sudomock \

-e SUDOMOCK_API_KEY=sm_your_key_here \ -- npx -y @sudomock/mcp

Get your API key at sudomock.com/dashboard/api-keys.

JSON config for other clients (Cursor, Windsurf, VS Code)

{

"mcpServers": { "sudomock": { "command": "npx", "args": ["-y", "@sudomock/mcp"], "env": { "SUDOMOCK_API_KEY": "sm_your_key_here" } } } }

Note: A hosted remote (HTTP/OAuth) transport is not available yet. This

package only ships the local stdio server shown above.

Tools

ToolDescriptionCredits
list_mockupsList your uploaded mockup templates0
get_mockup_detailsGet smart object UUIDs, dimensions, blend modes; with include_layers, every layer and its UUID, including the layers inside smart objects0
render_mockupRender a mockup with artwork and/or editable text; hidden_layers leaves chosen layers out1
remove_backgroundGet a transparent-PNG cutout at a public URL that stays available for 7 days5
check_seamsCheck whether a repeating pattern tile joins without a visible seam0
fix_seamsRepair a pattern tile's seams so it repeats cleanly (always async)60
list_fontsList the fonts available for text layers, including your uploads0
create_upload_urlGet an upload URL for a local file and the file URL it will have0
create_2d_mockupCreate a photo mockup and detect printable surfaces automatically25
render_2d_surfacePrint artwork across a whole surface (all-over)5
render_2d_print_areaPrint artwork into one saved print area (a drawn zone)5
render_videoAnimate a mockup into a video clip (always async)cost-based (one per account at no charge, then cost-based)
upload_psdUpload a Photoshop PSD/PSB template (sync or async)0
list_2d_mockupsList saved photo mockup templates; use customizable_only for shopper-ready items0
get_2d_mockupGet one photo mockup's saved print areas and its surfaces0
update_2d_print_areasReplace a photo mockup's print-area geometry0
delete_2d_mockupDelete a photo mockup template0
get_jobCheck the status of an async job by job_id0
wait_for_jobPoll an async job until it succeeds or fails0
list_jobsList async render, video, upload, and photo mockup jobs0
get_accountCheck plan, credits, prepaid balance, and usage0
update_mockupRename a mockup template0
delete_mockupDelete a mockup template0
create_webhook_endpointRegister a webhook for async job completion, pinned to an event naming0
list_webhook_endpointsList your webhook endpoints0
update_webhook_endpointEdit or enable/disable a webhook endpoint0
delete_webhook_endpointDelete a webhook endpoint0
rotate_webhook_secretRotate a webhook signing secret0
test_webhook_endpointSend a signed webhook.test event0
list_webhook_deliveriesList delivery attempts for an endpoint0
replay_webhook_deliveryReplay a single failed delivery0
replay_failed_webhook_deliveriesReplay every failed delivery for an endpoint0
Both spellings work

The product calls its two kinds of template PSD mockups and photo mockups, and the tools answer to those names too. Nothing above was renamed: every name in the table keeps working exactly as it always has, and the spelling beside it is the same tool with the same arguments. Reach for either.

Name in the tableAlso answers to
list_mockupslist_psd_mockups
get_mockup_detailsget_psd_mockup
update_mockupupdate_psd_mockup
delete_mockupdelete_psd_mockup
render_mockuprender_psd_mockup
create_2d_mockupcreate_photo_mockup
list_2d_mockupslist_photo_mockups
get_2d_mockupget_photo_mockup
update_2d_print_areasupdate_photo_mockup_print_areas
delete_2d_mockupdelete_photo_mockup
render_2d_surface, render_2d_print_arearender_photo_mockup
get_2d_mockupget_2d_mockup_details
test_webhook_endpointsend_webhook_test_event
render_photo_mockuprender_2d_mockup

render_photo_mockup is the one that is not simply a second name for a single tool. It renders either kind of target from one tool: pass the mockup as mockup_id and name exactly one of surface_uuid (sized by coverage or an explicit width + height) or print_area_uuid (sized by fit or an explicit width + height). Picking the target by picking a tool, with mockup_uuid, is what render_2d_surface and render_2d_print_area still do. render_2d_mockup is render_photo_mockup under a second name, with the mockup passed as mockup_uuid.

Async jobs

render_mockup, upload_psd, create_2d_mockup, and both photo mockup render tools accept is_async: true, and render_video and fix_seams are always async. These return a job_id immediately (HTTP 202) instead of a final result. (create_2d_mockup and the photo mockup render tools are synchronous by default and return the mockup / render directly.) Poll it with get_job, or let wait_for_job block until the job reaches a terminal status and hands back result_url, mockup_uuid, credits_charged, and payg ({credits, unit_price, cost} for pay-as-you-go jobs, otherwise null).

For a photo mockup render, pick the tool that matches the target you read from get_2d_mockup. Every printable product in the photo, and the main wall of a room photo, is a surface with its own surface_uuid: render_2d_surface prints across the whole of one, and takes either a coverage percentage or an explicit width + height. A print area is a bounded zone somebody drew on a product, such as a chest logo: render_2d_print_area takes its print_area_uuid, and either a fit or an explicit width + height. A product can have both, and they are separate targets -- a saved print area does not close off the surface it sits on.

Sizing has one answer per render: send the relative option or the exact box, never both, and send width and height together. position, offset_x, offset_y and rotation place the artwork on either kind of target. Anything you leave out is left out of the request, so the renderer's own default applies rather than a copy of it kept here.

Each entry in a photo mockup's surfaces carries a label, what was detected there, such as pillow or wall, so you can tell surfaces apart before you pick one. update_2d_print_areas takes an optional print_area_id on each area: an area that sends one of the mockup's ids keeps it, and an area without one gets a new id.

Patterns

tile repeats the artwork as a pattern across the whole target, and tile_spacing leaves a gap between the tiles: a percentage of the tile size, 0 to 100, so the horizontal gap is that percent of the tile width and the vertical gap that percent of the tile height. It is used only when tile is true.

  • On a PSD template both go in a smart_objects entry's asset on render_mockup. size is one tile, fit places the artwork inside each tile, and position sets where the grid starts.
  • render_video takes them as parameters for the smart object it fills, with asset_width and asset_height as the size of one tile.
  • The photo mockup render tools take them as parameters. The sizing answer (coverage, fit, or width and height) is one tile, and position with offset_x and offset_y sets where the grid starts.

A tile needs a size; without one the API answers 422.

Check the tile with check_seams before you render it. It answers at once, at no charge, with status: seamless, faint_seam or visible_seam. seams lists each side that does not join cleanly, left_right (where the right edge meets the left) or top_bottom (where the bottom edge meets the top), with the pixel ranges along it. fixable and unfixable_reason (transparent_edges or too_large) say whether the tile can be repaired, and previous_fix holds your latest fix of the same image, if there is one. Pass crop_aspect, the width divided by the height of one tile in your render, to check the image cropped to that shape the way fit: "crop" crops it.

fix_seams takes the same input and repairs the tile so it repeats without a visible seam. It is always async: read the job with get_job or wait_for_job. The finished job carries result_url, alternative_url (a second repaired version when one is available, otherwise null), result_status (the seam check of the result) and changes (edges or whole_tile); while it runs, stage reads queued, fixing or finishing. A fix that fails with error_code TILE_NOT_FIXABLE carries error_details.reason: not_a_pattern_tile or no_clean_result. Seam fix: 60 credits, refunded automatically if the fix fails; seam check: free.

Background removal

remove_background returns a transparent-PNG URL valid for 7 days. You can pass that URL straight back as artwork_url during that window. To clean artwork inline during a single render instead, pass remove_background: true to render_mockup or either photo mockup render tool. Either way it costs 5 credits per artwork, refunded automatically if processing fails.

Webhooks

Register an endpoint with create_webhook_endpoint to be notified when async jobs finish. Deliveries are signed with TWO headers: X-SudoMock-Signature (a hex HMAC-SHA256 over ${timestamp}.${rawBody} using the secret returned at creation/rotation) and X-SudoMock-Timestamp (unix seconds). Verify in constant time and reject if |now - timestamp| > 300s.

Render, upload, and video job deliveries use {event, job_id, kind, status, result_url, error, created_at}. The typed photo mockup creation events add version, mockup_id, name, and either print_areas (ready) or reason (rejected). The typed photo mockup render events carry mockup_id, result_url, a public {error_code, message} failure when applicable, and optional export_format / duration_ms. Event types: render.succeeded, render.failed, upload.succeeded, video.succeeded, video.failed, photo_mockup.ready, photo_mockup.rejected, photo_mockup.failed, photo_mockup_render.succeeded, photo_mockup_render.failed, seam_fix.succeeded, seam_fix.failed, webhook.test. Seam fix deliveries carry result_url and alternative_url.

The five photo mockup events also have a legacy spelling: 2d_mockup.ready, 2d_mockup.rejected, 2d_mockup.failed, 2d_render.succeeded, 2d_render.failed (with kind 2d_create / 2d_render in the payload). Which spelling an endpoint receives is its event_naming pin, set at create_webhook_endpoint and returned on every endpoint: current (the names above) or legacy. A create without a pin takes current only when event_types names photo mockup events by their family names alone, and legacy otherwise, including an empty list. Endpoints registered before the pin existed stay on legacy, so a receiver written against the old names keeps working unchanged. Once that

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