Verified conversions across 205 color spaces: CSS strings, gamut checks, .cube LUTs
Nothing to run from here
YouCam for Fashion & Retail is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
93/100
tool-list score
19
tools declared
remote
at its publisher
—
calls last 7d
What it does
Provides YouCam API for virtual try-on of clothing, jewelry, and watches.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http youcam-for-fashion-retail-mcp https://mcp-api-01.makeupar.com/mcp/fashion --header 'Authorization: Bearer ${AUTHORIZATION}'
# 2 — ask your agent for something these tools do
# AI-Bracelet-Virtual-Try-On, AI-Earrings-Virtual-Try-On, AI-Necklace-Virtual-Try-On and 16 more
It needs AUTHORIZATION (Include your API key in the request header using Bearer Token): this sends it in the Authorization header from your environment, so export it first — its endpoint answers 401 without it.
YouCam for Fashion & Retail costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
MAAll 3 servers
makeupar3 servers
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it. Claude Code reads AUTHORIZATION (Include your API key in the request header using Bearer Token) from your environment each time it connects and sends it in the Authorization header — its endpoint answers 401 without it — so the key stays out of its config: export it in your shell profile (macOS, Linux), or run setx AUTHORIZATION … and open a new terminal (Windows).
claude mcp add --scope user --transport http youcam-for-fashion-retail-mcp https://mcp-api-01.makeupar.com/mcp/fashion --header 'Authorization: Bearer ${AUTHORIZATION}'Reconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add — but its publisher asks for a key of their own on every call.
What it asks of you
It reaches a system of yours, so it needs your own credential rather than the publisher’s: Authorization header — Include your API key in the request header using Bearer Token.. You set it in your own client’s config, on your machine — this marketplace never holds it.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
19 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
The Ultimate AI Bracelet Virtual Try-On Employ AI-powered solutions to assist your customers with online purchases, ensuring perfect fit and great shopping satisfaction every time. Only One 2D Image Needed. Create a compelling shopping flow with the hyper-realistic bracelet virtual try-on experiences. Our solution caters to the needs of jewelry brands of all sizes. Opt for 2D images for effortless
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
The Ultimate AI Earring Virtual Try-On Top AI ear piercing simulator for virtual earring try-on and virtual piercing try-on Create realistic and dynamic earrings virtual try-on from a 2D image, no expensive 3D modelling required. Our advanced algorithms create lifelike virtual try-on earring SKUs with sophisticated lighting effects and physically accurate motions.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
Luxurious Look and Feel with State-of-the-Art Virtual Try-On for Necklace Precise AI neck and clavicle tracking gives users an ultra-realistic AR try-on experience, recreating the luxurious look and feel of physical necklace sampling. Create realistic and dynamic necklace vitual try-on from a 2D image, no expensive 3D modelling required. Our advanced algorithms create lifelike virtual try-on neckl
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
Easily Create Your AR Ring or Engagement Ring Try Ons. You Only Need to Upload Images. Opt for 2D images for effortless yet high-quality virtual try-on experiences with minimal effort.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
Virtually Try-On AR Watches with Ease! Only One 2D Image Needed. With just a single 2D image upload, users can instantly try on top-notch watches virtually using our innovative AR-Watches App. This unique feature sets us apart in the world of e-commerce, making it easier than ever for customers to experience your products.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
AR makes luxury bag shopping a tangible experience! AR tech empowers brands to showcase handbags with unmatched realism. From strap length to bag pairing, customers can visualize products instantly through camera.gender must be explicitly provided by the user. If missing, ask the user for clarification and set the parameter once received.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
AI Clothes is a virtual fitting room that lets users try on clothes without physically wearing them. Using AI and photo editing technology, these apps overlay outfits onto your image so you can see how different styles and fits look on your body type. It’s perfect for online shopping, style inspiration, or just playing around with fashion ideas. Try on clothes virtually with AI Clothes . Upload an
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
Transform your look with stunning realism! Explore unique fabric styles with photo mode — whether it's the elegance of silky textures or the vibrance of bold prints, the AI Fabric API brings materials to life! Developers can craft immersive experiences that let users see and feel fabrics like never before. Plus, fresh fabric updates are always on the way!
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
List predefined templates.
No parameter schema on file.
Step into the future of fashion with our Hyper-Realistic AR Try-On for Headwear, powered by cutting-edge AI technology. This innovative solution transforms online shopping into an immersive experience, allowing customers to virtually try on headwear with unmatched precision and realism. From instant style discovery to true-to-life visualization, our AR technology ensures every hat and headband loo
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
Enhance your fashion experience with the online AR Scarf Virtual Try-On. Shoppers can instantly drape scarves over their outfits and see how patterns flow in real life. This interactive virtual scarf feature allows customers to explore different styles and colors online, replicating the in-store experience. Powered by high-fidelity AR simulation, users can enjoy detailed scarf visualisation anytim
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
Step into the future of shopping with our AR Shoes Virtual Try-On. Instantly see how your favourite styles look and fit right from your screen. Powered by cutting-edge AI technology, this experience delivers a perfect visual fit, helping you shop with confidence and reduce returns. Explore endless styles and colours from the comfort of home. Our high-fidelity AR simulation brings every detail to l
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | yes | — | |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
Upload base64-encoded media files to the YouCam API and return file_id(s). If task_type is omitted, files are uploaded via the generic file API (POST /s2s/v2.0/file) rather than a task-specific upload path.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| files | array | yes | — |
| task_type | yes | — |
Interactive drag-and-drop widget for uploading images (JPEG, PNG) or videos (MP4). Returns file IDs for YouCam AI tools (AI-Fabric, AI-Cloth, AI-Makeup-Vto, AI-Hairstyle-Generator, AI-Skin-Analysis, etc.). /n Use when the user wants to upload or select an image/video (e.g. upload, drag & drop, choose file, pick image/video), or before any AI-* tool requiring src_file_id or ref_file_id when no file
| Parameter | Type | Required | Notes |
|---|---|---|---|
| task_type | no | Pre-select a task type. If omitted, the user picks one from the dropdown. |
Retrieves the current status and results of a previously initiated AI processing task. Use this tool when you need to check on a task that was started earlier but hasn't completed yet, or when a user returns to inquire about a task they initiated previously. WHEN TO USE THIS TOOL: - When a user provides a task_id from a previous session and wants to check if their result is ready - When a user as
| Parameter | Type | Required | Notes |
|---|---|---|---|
| task_id | string | yes | ID of this task. |
| task_type | string | yes | The type of the task. |
| is_preprocess | boolean | no | Whether this is called from preprocess tool. |
| polling | boolean | no | If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish. |
Returns the upload API endpoint and example request/response for uploading images (JPEG, PNG) or videos (MP4) to YouCam AI./n Use when the user wants to upload an image/video via the API. If upload cannot be completed for any reason (including network restrictions, host_not_allowed, or other errors), do not retry. Immediately use the File Upload Widget instead. Do not ask the user for a public URL
| Parameter | Type | Required | Notes |
|---|---|---|---|
| task_type | string | yes | The type of the AI task to upload file for. |
Check the unit consumption for each API. The values are consistent with those listed at https://yce.perfectcorp.com/ai-api/api-pricing.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | object | yes | — |
Get the current unit balance for this account, including each unit's type, amount, and expiry.
No parameter schema on file.
View the unit usage history for this account, such as units consumed or granted per task/order.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | object | yes | — |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install YouCam for Fashion & Retail or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATool-list grade · score 93 / 100
Release 1.0.1 · scanned 23 Oct 2026
Graded from the tools this server lists, not from its source code.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score93
Findings0 threat · 0 capability
Capabilitymoderate
Coveragemanifest
Verificationnot in this report
Surface digestfff1cc22adde3cb1950218336c9ff011e32d08c235f4b488ca5e98e27be5b83d
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
Tool surfaceread
Implementation sourcenot available
Package metadatanot available
Live transportnot available
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| AI-Bracelet-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Earrings-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Necklace-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Ring-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Watch-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Bag-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Clothes-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Fabric-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Fabric-Virtual-Try-On-Templates | no tags | |
| AI-Hat-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Scarf-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| AI-Shoes-Virtual-Try-On | external-sink | external-sink: declares readOnlyHint: false, openWorldHint: true |
| upload_file | external-sink | external-sink: keyword "upload_file" |
| File-Upload | no tags | |
| Get-Running-Task-Status | no tags | |
| Get-Upload-API-Info | no tags | |
| Get-Feature-Cost | no tags | |
| Get-Unit-Info | no tags | |
| Get-Unit-History | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digestfff1cc22adde3cb1
Scanned2026-10-23
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.1.
1.0.1
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish YouCam for Fashion & Retail can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.