Multimodal AI
Virtual Try-On API MCP
Generate wearable-product imagery from a source person image and target product image. Call it via REST API or MCP, or try it in the online playground.
Virtual Try-On API AI Prompts & Use Cases
After connecting this MCP tool to your AI assistant, you can ask the questions below. Replace bracketed placeholders with your own inputs and use the supported values in Arguments.
New to Nexscope MCP? Follow the connection guide, then use the prompts below. The Integration and Parameters & Response tabs contain the connection steps, call example, and technical reference.
1. Preview A Wearable Product
Prompt: Place [wearable product image] on [person image], using [black-and-white wear-area mask] to identify the target area. Match the requested [product category].
2. Create Several Alternatives
Prompt: Place [wearable product image] on [person image], using [black-and-white wear-area mask] to identify the target area. Match the requested [product category]. Create [number of outputs within this tool’s supported limit] for review, keeping the same source material and brief.
3. Compare Two Styling References For A Wearable
Prompt: Create two try-on previews for [the same wearable product image] in [supported product category]: use [person image A and corresponding mask A] and [person image B and corresponding mask B] in separate requests, one output each. Compare completed product placement and occlusion without inferring body measurements, physical fit or customer preferences.
What You Need to Provide
Provide assets you may use and that meet this tool’s documented file, dimension and count limits.
A pending task is not a completed image, video or text result. Retrieve the existing task rather than submitting a duplicate.
Request one to four outputs; the default is one. Supported categories are shoes, bags, glasses, necklaces, hats, earrings, rings, wristbands, watches, headwear, belts and other wearables.
Step 1 · Connect
Connect Your AI Assistant
Connect a compatible MCP client to Nexscope, then select this tool from your assistant. Use the connection settings in your client to complete authentication.
POST https://api.nexscope.ai/mcp
MCP-Protocol-Version: 2025-11-25
Content-Type: application/jsonAuthentication
Use OAuth 2.1 Authorization Code with PKCE and the mcp:tools scope. API keys remain supported as a compatibility option.
Authorization: Bearer nk-xxxxxxxxxxxxxxxxxUsing an API key? Get your key from API Access and include it in the Authorization header shown above.
Call this MCP tool
nexscope_virtual_try_onhttps://api.nexscope.ai/mcptools/callInitialize an MCP 2025-11-25 Streamable HTTP session at https://api.nexscope.ai/mcp, then use tools/call.
{
"jsonrpc": "2.0",
"id": "virtual-try-on-1",
"method": "tools/call",
"params": {
"name": "nexscope_virtual_try_on",
"arguments": {
"imageUrl": "https://example.com/product.jpg",
"outputNum": 1,
"productCategory": "hat",
"targetMaskUrl": "https://example.com/mask.png",
"targetOriginUrl": "https://example.com/model-reference.jpg"
}
}
}MCP 2025-11-25 · Streamable HTTPProgress is delivered on the original POST SSE response. GET SSE carries notifications; reconnecting must query existing asynchronous work rather than submit again.
Asynchronous task workflow
- 1. Create once
Keep the returned taskId.
- 2. Query with backoff
Use nexscope_media_task_result after 5 seconds, then 10, 20, and 30 seconds.
- 3. Use final result
Stop at success, failure, or timeout.
{
"jsonrpc": "2.0",
"id": "virtual-try-on-result-1",
"method": "tools/call",
"params": {
"name": "nexscope_media_task_result",
"arguments": {
"skillSlug": "virtual-try-on",
"taskId": "TASK_ID_FROM_THE_GENERATION_RESULT"
}
}
}Arguments
| Name | Type | Required | Description |
|---|---|---|---|
imageUrl | string | required | Public URL of the wearable product image. The image must be between 300 and 4096 pixels in both width and height. The width-to-height ratio must be between 0.4 and 2.5. Example: https://example.com/product.jpg |
targetOriginUrl | string | required | Public URL of the person or model image. Example: https://example.com/model-reference.jpg |
targetMaskUrl | string | required | Public URL of the black-and-white target wear-area mask. Required because this API accepts custom target images rather than saved upstream materials. Example: https://example.com/mask.png |
productCategory | string | optional | Product category. Available options
Example: hat |
outputNum | integer | optional | Number of images to generate, from 1 to 4. Defaults to 1. Example: 1 |
Response fields
Treat structuredContent as the programmatic API response payload.
| Name | Type | Required | Description |
|---|---|---|---|
code | integer | required | 0 means accepted or successful; nonzero is a platform error. |
cost | string | required | Elapsed milliseconds, never credits; -1 outside web requests. |
data | any | required | Data value used by this API operation. |
msg | string | null | required | Msg value used by this API operation. |
time | string | required | Server local time: yyyy-MM-dd HH:mm:ss. |
traceId | string | null | required | Trace id value used by this API operation. |
ts | string | required | Epoch milliseconds. |
Any of option 1 — requires taskId, status, result
| Name | Type | Required | Description |
|---|---|---|---|
data | object | required | Data value used by this API operation. |
data.result | any | required | Completed generation output retained from the task result. Fields vary by capability; generated resources use Nexscope-hosted URLs and any count represents charged Nexscope credits. This is the business output, not a task creation receipt. |
data.status | string | required | Status value used by this API operation. Allowed: PENDING, RUNNING, SUCCEEDED, FAILED, TIMEOUT |
data.taskId | string | required | Task id value used by this API operation. |
Any of option 1
| Name | Type | Required | Description |
|---|---|---|---|
data.result | object | required | Completed generation output retained from the task result. Fields vary by capability; generated resources use Nexscope-hosted URLs and any count represents charged Nexscope credits. This is the business output, not a task creation receipt. |
Any of option 2
| Name | Type | Required | Description |
|---|---|---|---|
data.result | null | required | Completed generation output retained from the task result. Fields vary by capability; generated resources use Nexscope-hosted URLs and any count represents charged Nexscope credits. This is the business output, not a task creation receipt. |
Any of option 2
| Name | Type | Required | Description |
|---|---|---|---|
data | null | required | Data value used by this API operation. |
Format Illustration
Illustrative example with fictional data, not a live tool call.
Illustrative Question
Place [wearable product image] on [person image], using [black-and-white wear-area mask] to identify the target area. Match the requested [product category].
Illustrative Response Explanation
The illustrative request has been accepted as task example-task and is PENDING. No completed output is available yet. Keep this task ID and check its result; do not submit the same request again just because processing has not finished.
About this sample: Illustrative format example with fictional values, not a live tool call. Replace example inputs with your own permitted assets or public identifiers.
Published sample data is not available for this page. A format illustration or workflow guide is not a substitute for a published result.
View the MCP Request & Response Format
Examples
Illustrative example with fictional data, not a live tool call.
The JSON-RPC envelope below illustrates how the shown arguments and payload fit into MCP. It is not captured network traffic or proof of a successful call. Workflow-only examples do not include a result.
MCP Request
{
"jsonrpc": "2.0",
"id": "virtual-try-on-example",
"method": "tools/call",
"params": {
"name": "nexscope_virtual_try_on",
"arguments": {
"imageUrl": "https://example.com/product.jpg",
"outputNum": 1,
"productCategory": "hat",
"targetMaskUrl": "https://example.com/mask.png",
"targetOriginUrl": "https://example.com/model-reference.jpg"
}
}
}MCP Response Format
{
"jsonrpc": "2.0",
"id": "virtual-try-on-example",
"result": {
"content": [
{
"type": "text",
"text": "{\"code\":0,\"cost\":\"-1\",\"data\":{\"taskId\":\"example-task\",\"status\":\"PENDING\",\"result\":null},\"msg\":null,\"time\":\"2026-01-01 00:00:00\",\"traceId\":null,\"ts\":\"0\"}"
}
],
"structuredContent": {
"code": 0,
"cost": "-1",
"data": {
"taskId": "example-task",
"status": "PENDING",
"result": null
},
"msg": null,
"time": "2026-01-01 00:00:00",
"traceId": null,
"ts": "0"
},
"isError": false
}
}