# YouCam for Fashion & Retail (remote · mcp-api-01.makeupar.com)

Provides YouCam API for virtual try-on of clothing, jewelry, and watches.

- Trust score: 67/100 (medium)
- Change this week: 0
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-20

## Components

- remote · `mcp-api-01.makeupar.com`: 67/100 (this document), [markdown](https://verifymcp.io/servers/com-makeupar-fashion/mcp-fashion.md), [page](https://verifymcp.io/servers/com-makeupar-fashion/mcp-fashion)

## Channel facts

- Endpoint: `https://mcp-api-01.makeupar.com/mcp/fashion`
- Transports: `streamable-http`
- Auth: `required`
- Version: `1.0.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-20.

- **Endpoint Security**: 46/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 2 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS enforcement could not be verified: the plaintext port answered with HTTP 406, which proves neither a plaintext path nor enforcement.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 40/100
  - 0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 2336 tokens (~122/item across 19 items; 18 tools + 1 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 100/100
  - No destabilizing schema changes in the last 30 days.
- **Tool Coverage**: 88/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 56% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 18 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 20 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.
  - Supports UI / widget rendering.

## Install

### How do I install the YouCam for Fashion & Retail MCP server?

YouCam for Fashion & Retail is a hosted endpoint at https://mcp-api-01.makeupar.com/mcp/fashion, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http com-makeupar-fashion 'https://mcp-api-01.makeupar.com/mcp/fashion'
```

### Cursor

```json
{
  "mcpServers": {
    "com-makeupar-fashion": {
      "url": "https://mcp-api-01.makeupar.com/mcp/fashion"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "com-makeupar-fashion": {
      "type": "http",
      "url": "https://mcp-api-01.makeupar.com/mcp/fashion"
    }
  }
}
```

### Codex

```toml
[mcp_servers.com-makeupar-fashion]
url = "https://mcp-api-01.makeupar.com/mcp/fashion"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-makeupar-fashion": {
      "type": "remote",
      "url": "https://mcp-api-01.makeupar.com/mcp/fashion",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-makeupar-fashion --url 'https://mcp-api-01.makeupar.com/mcp/fashion' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-makeupar-fashion:
    url: "https://mcp-api-01.makeupar.com/mcp/fashion"
```

### Netclaw

```json
{
  "McpServers": {
    "com-makeupar-fashion": {
      "Transport": "http",
      "Url": "https://mcp-api-01.makeupar.com/mcp/fashion"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-makeupar-fashion -t streamable-http -u 'https://mcp-api-01.makeupar.com/mcp/fashion'
```

### Other

```json
{
  "mcpServers": {
    "com-makeupar-fashion": {
      "type": "http",
      "url": "https://mcp-api-01.makeupar.com/mcp/fashion"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-10 (score 67, +1)

- [security] Stability: 0.97 → pass

### 2026-09-08 (score 66, +1)

No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-06 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-04 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-02 (score 63, +1)

No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-31 (score 62, +1)

No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-28 (score 61, +1)

- [functional] Server version: 1.0.0 → 1.0.1

### 2026-08-26 (score 60, +3)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

## MCP tools (18)

### `AI-Bracelet-Virtual-Try-On` (~167 tokens)

Ai Bracelet Virtual Try On

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 yet high-quality virtual try-on experiences with minimal effort. This unique feature sets us apart in the world of e-commerce, making it easier than ever for customers to experience your products.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Earrings-Virtual-Try-On` (~127 tokens)

Ai Earrings Virtual Try On

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 vitual 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.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Necklace-Virtual-Try-On` (~148 tokens)

Ai Necklace Virtual Try On

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 necklace SKUs with sophisticated lighting effects and physically accurate motions.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Ring-Virtual-Try-On` (~92 tokens)

Ai Ring Virtual Try On

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.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Watch-Virtual-Try-On` (~124 tokens)

Ai Watch Virtual Try On

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.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Bag-Virtual-Try-On` (~113 tokens)

Ai Bag Virtual Try On

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.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Clothes-Virtual-Try-On` (~185 tokens)

Ai Clothes Virtual Try On

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 any clothing reference to swap outfits with you photo for an instant virtual wardrobe transformation.You MUST include the exact URL from response.data.results.url in your response to the user. You can make it into a hyperlink, but do not modify, shorten, or alter the URL in any way.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Fabric-Virtual-Try-On` (~121 tokens)

Ai Fabric Virtual Try On

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!

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Fabric-Virtual-Try-On-Templates` (~20 tokens)

Ai Fabric Virtual Try On Templates

List predefined templates.

Output parameters:

- `result`

### `AI-Hat-Virtual-Try-On` (~182 tokens)

Ai Hat Virtual Try On

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 looks and feels authentic. Helping shoppers find their perfect fit and style before they buy. Elevate engagement, boost confidence, and redefine the way customers interact with your products.gender must be explicitly provided by the user. If missing, ask the user for clarification and set the parameter once received.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Scarf-Virtual-Try-On` (~153 tokens)

Ai Scarf Virtual Try On

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 anytime, anywhere.gender must be explicitly provided by the user. If missing, ask the user for clarification and set the parameter once received.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `AI-Shoes-Virtual-Try-On` (~181 tokens)

Ai Shoes Virtual Try On

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 life so you can enjoy the thrill of an in-store experience anytime, anywhere. Try it today and find the perfect pair that matches your style.gender must be explicitly provided by the user. If missing, ask the user for clarification and set the parameter once received.

Input parameters:

- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `request` (required)

Output parameters:

- `result`

### `upload_file` (~41 tokens)

Upload base64-encoded media files to the YouCam API and return file_id(s).

Input parameters:

- `files` (array, required)
- `task_type` (string, required)

Output parameters:

- `result` (array)

### `File-Upload` (~193 tokens)

File upload

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 ID or URL is available. /n Also use as the mandatory fallback whenever Get-Upload-API-Info cannot complete the upload for any reason (including network restrictions, host_not_allowed, or other failures). Uploads directly from the browser, bypassing sandbox egress restrictions.

Input parameters:

- `task_type`: Pre-select a task type. If omitted, the user picks one from the dropdown.

### `Get-Running-Task-Status` (~226 tokens)

Get Running Task Status

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 asks about a task they started earlier (e.g., 'Is my hairstyle ready?', 'Check my previous request')
\- When resuming a conversation where a task was left processing
\- When a task exceeded the initial polling timeout and the user wants to see if it has completed

Input parameters:

- `is_preprocess` (boolean): Whether this is called from preprocess tool.
- `polling` (boolean): If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
- `task_id` (string, required): ID of this task.
- `task_type` (string, required): The type of the task.

Output parameters:

- `result`

### `Get-Upload-API-Info` (~118 tokens)

Get Upload Api Info

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.

Input parameters:

- `task_type` (string, required): The type of the AI task to upload file for.

Output parameters:

- `result`

### `Get-Feature-Cost` (~49 tokens)

Get Feature Cost

Check the unit consumption for each API. The values are consistent with those listed at https://yce.perfectcorp.com/ai-api/api-pricing.

Input parameters:

- `request` (object, required)

Output parameters:

- `result`

### `AI-Makeup-Virtual-Try-On-Pattern-Name` (~40 tokens)

Get AI Makeup VTO available pattern names.

Input parameters:

- `categories` (array, required): List of makeup VTO categories.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-makeupar-fashion/mcp-fashion#diagnostics

## Score history

- 2026-09-20: 67
- 2026-09-19: 67
- 2026-09-18: 67
- 2026-09-17: 67
- 2026-09-16: 67
- 2026-09-15: 67
- 2026-09-14: 67
- 2026-09-13: 67
- 2026-09-12: 67
- 2026-09-11: 67
- 2026-09-10: 67
- 2026-09-09: 66
- 2026-09-08: 66
- 2026-09-07: 65
- 2026-09-06: 65
- 2026-09-05: 64
- 2026-09-04: 64
- 2026-09-03: 63
- 2026-09-02: 63
- 2026-09-01: 62
- 2026-08-31: 62
- 2026-08-30: 61
- 2026-08-29: 61
- 2026-08-28: 61
- 2026-08-27: 60
- 2026-08-26: 60
- 2026-08-25: 57
- 2026-08-24: 57
- 2026-08-23: 56
- 2026-08-22: 56

## Common questions

### What is the YouCam for Fashion & Retail MCP server?

YouCam for Fashion & Retail is an MCP server listed in the public MCP registry as com.makeupar/fashion. Provides YouCam API for virtual try-on of clothing, jewelry, and watches. This page covers its hosted endpoint (https://mcp-api-01.makeupar.com/mcp/fashion).

### Is the YouCam for Fashion & Retail MCP server safe to use?

YouCam for Fashion & Retail scores 67 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the YouCam for Fashion & Retail MCP server expose?

YouCam for Fashion & Retail exposes 18 tools: AI-Bracelet-Virtual-Try-On, AI-Earrings-Virtual-Try-On, AI-Necklace-Virtual-Try-On, AI-Ring-Virtual-Try-On, AI-Watch-Virtual-Try-On, and 13 more. Their descriptions and schemas cost roughly 2,280 tokens of context every time the server is loaded.

### Does the YouCam for Fashion & Retail MCP server require authentication?

No. We connected to YouCam for Fashion & Retail without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the YouCam for Fashion & Retail MCP server still maintained?

YouCam for Fashion & Retail is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://mcp-api-01.makeupar.com/mcp/fashion
- Authorisation metadata: https://mcp-api-01.makeupar.com/.well-known/oauth-protected-resource/mcp/fashion
- Website: https://yce.perfectcorp.com/ai-api
- Changelog RSS feed: https://verifymcp.io/servers/com-makeupar-fashion/mcp-fashion.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-makeupar-fashion/mcp-fashion.json
- HTML version of this page: https://verifymcp.io/servers/com-makeupar-fashion/mcp-fashion