Virtual try-on, inside your AI assistant.
Genlook runs a remote MCP server that lets your AI assistant use virtual try-on. You can upload a photo, generate a try-on and see the result in the conversation. You sign in with your Genlook account instead of using an API key, and new accounts get 10 free credits.
- OAuth sign-in
- No API keys
- 10 free credits


8.2 s- OAuth sign-in
- No API keys
- 10 free credits
Add Genlook to any MCP-compatible assistant and ask it to try clothes on you in plain language. The server address is:
https://mcp.genlook.app
You don't need an API key. The connector uses OAuth, so your assistant asks you to sign in to Genlook (or create an account) the first time you use it.
3
Free credits for new accounts.
1 credit
Per try-on.
OAuth
Sign in with your Genlook account. No API keys to manage.
7 days
Photos and results are deleted after 7 days.
Connect Genlook in three steps.
- 1
Add the connector
Add https://mcp.genlook.app as a custom connector in your assistant.
- 2
Sign in
Sign in with your Genlook account when your assistant asks. There are no API keys to manage.
- 3
Ask for a try-on
Ask your assistant to try a garment on your photo. The result appears in the chat.
Set it up in your client
Claude
- Open claude.ai → Settings → Connectors
- Click Add custom connector and paste
https://mcp.genlook.app - Sign in with your Genlook account when prompted
Claude Code
claude mcp add --transport http genlook https://mcp.genlook.app
Then run /mcp inside Claude Code to sign in.
ChatGPT
- Settings → Apps & Connectors → enable Developer mode
- Create a connector with
https://mcp.genlook.app(OAuth) - Sign in with your Genlook account when prompted
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"genlook": {
"url": "https://mcp.genlook.app"
}
}
}
Cursor asks you to sign in on first use.
Tools
The tools run on the same engine as the Try-On API:
| Tool | What it does |
|---|---|
add_photo_from_url | Adds your photo from a public image link. It becomes the current photo for your try-ons. |
add_photo_from_chat | Adds a photo you attached in the chat (ChatGPT). |
get_photo_upload_link | Returns a one-time link to upload a photo from your device, or from a coding agent with curl. |
get_current_photo | Shows your current photo, so you can reuse it across conversations. |
try_on | Puts a product on your current photo. Waits and returns the image. |
get_try_on | Gets a try-on by id, with the image once it's complete. |
get_credits | Shows your remaining credits and the plans link. |
Image URLs passed to the tools must be public. Login-protected or private links don't work.
Example prompts
- "Here's a dress I like: <image URL>. Show me wearing it."
- "Use this photo of me from now on: <image URL>."
- "How many try-on credits do I have left?"
The MCP tools use the same try-on engine as the Genlook storefront widget. One photo and a garment image URL are enough to get a try-on back in the conversation. Uploaded photos and generated images are deleted after 7 days. See the Privacy Policy and the MCP documentation for details.
Building for a storefront instead?
The Try-On API uses the same account and credits.
Questions about the MCP server.
Do I need an API key?
No. The MCP connector uses OAuth. You sign in with your Genlook account, and there are no keys to copy or rotate.
How much does it cost?
New accounts get 10 free credits, and each try-on costs 1 credit. You can top up at any time at platform.genlook.app/topup, from $5 for 125 try-ons.
Which clients work?
Claude, Claude Code, ChatGPT (in developer mode), Cursor and other MCP clients that support remote servers.
Is it the same account as the Try-On API?
Yes. The MCP tools use the same account and credits as platform.genlook.app.