Vybe Virtual Try-On MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Vybe Virtual Try-On MCP Servertry this red dress on the model in my photo"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Vybe Virtual Try-On MCP Server
A FastMCP server that wraps the Replicate API for virtual try-on functionality, ready for deployment to Render.
Setup
Using UV (recommended)
Install uv if you haven't already:
curl -LsSf https://astral.sh/uv/install.sh | shInstall dependencies:
uv syncSet up environment variables:
cp .env.example .envEdit .env and add your Replicate API token.
Using pip (alternative)
Install dependencies:
pip install -r requirements.txtSet up environment variables:
cp .env.example .envEdit .env and add your Replicate API token.
Related MCP server: MCP Server for Replicate
Local Testing
Run the server locally:
# With uv (recommended)
uv run python server.py
# Or with regular python
python server.pyThe server will start on the default FastMCP port and expose the virtual_tryon tool.
MCP Client Configuration
Add to your Claude Desktop or other MCP client configuration:
{
"mcpServers": {
"vybe-virtual-tryon": {
"command": "python",
"args": ["/path/to/server.py"]
}
}
}Usage
The server exposes three tools:
test_connection
Tests the connection and shows timeout configuration.
base64_to_url
Converts base64 encoded images to data URIs for use with virtual_tryon:
base64_image: Base64 encoded image string (with or without data:image prefix)image_type: Image type (png, jpg, jpeg, gif, webp) - default: png
Returns a data URI that can be used as model_image or garment_image in virtual_tryon.
virtual_tryon
Performs virtual try-on with these parameters:
model_image: URL or data URI of the person/model imagegarment_image: URL or data URI of the clothing item to try onVarious optional parameters for customization
Timeout Configuration
The server is configured with extended timeouts to handle long-running Replicate operations:
MCP request timeout: 600 seconds (10 minutes)
Replicate polling interval: 5 seconds
Replicate timeout: 600 seconds (10 minutes)
If you still experience timeouts, you can adjust these in the server.py file.
Deployment to Render
Quick Deploy with render.yaml
Push your code to a GitHub repository
Connect the repository to Render
Render will automatically detect the
render.yamlconfigurationAdd your
REPLICATE_API_TOKENin the Render dashboard under Environment VariablesDeploy!
The service includes health check endpoints:
/health- Health check endpoint for Render monitoring/- Root endpoint with service status
Manual Setup
If you prefer manual configuration:
Create a new Web Service on Render
Connect your GitHub repository
Configure the service:
Build Command:
curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.cargo/env && uv sync --frozen --no-devStart Command:
uv run python server.pyHealth Check Path:
/health
Add environment variables:
REPLICATE_API_TOKEN: Your Replicate API token (required)PORT: (leave empty, Render will auto-assign)HOST: (leave empty, defaults to 0.0.0.0)
Using the Remote MCP Server
Once deployed, you can access the server at:
Health Check:
https://your-service-name.onrender.com/healthRoot:
https://your-service-name.onrender.com/MCP Protocol: Use the base URL for MCP client connections
For MCP clients that support HTTP transport:
{
"mcpServers": {
"vybe-virtual-tryon-remote": {
"url": "https://your-service-name.onrender.com",
"transport": "http"
}
}
}Replace your-service-name with your actual Render service URL.
Testing the Deployment
Use the included test script to verify your deployment is working:
# With uv (if using uv environment)
uv run python test_deployment.py https://your-service-name.onrender.com
# Or with regular python
python test_deployment.py https://your-service-name.onrender.comThis will test:
Health check endpoint (
/health)Root endpoint (
/)Basic MCP server connectivity
Example output:
Testing deployment at: https://your-service.onrender.com
--------------------------------------------------
๐งช Testing Health Endpoint...
โ
Health check passed: {'status': 'healthy', 'service': 'vybe-virtual-tryon'}
๐งช Testing Root Endpoint...
โ
Root endpoint passed: {'message': 'Vybe Virtual Try-On MCP Server', 'status': 'running'}
๐งช Testing MCP Connection...
โ
MCP server is responding
==================================================
TEST RESULTS:
==================================================
โ
PASS - Health Endpoint
โ
PASS - Root Endpoint
โ
PASS - MCP Connection
Tests passed: 3/3
๐ All tests passed! Deployment is working correctly.Docker Deployment (Alternative)
A Dockerfile is also included if you prefer containerized deployment. Render will automatically detect and use it if present.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseCqualityDmaintenanceA FastMCP server implementation that facilitates resource-based access to AI model inference, focusing on image generation through the Replicate API, with features like real-time updates, webhook integration, and secure API key management.Last updated1816MIT
- Alicense-qualityDmaintenanceA FastMCP server implementation that provides a standardized interface for accessing AI models hosted on Replicate's API, currently supporting image generation with customizable parameters.Last updated3MIT
- Alicense-qualityDmaintenanceA server that enables generating images through the Replicate API by calling the Flux Schnell model via the Model Context Protocol (MCP).Last updated3MIT
- Alicense-qualityDmaintenanceA TypeScript-based MCP server that implements virtual try-on capabilities using the HeyBeauty API, allowing users to visualize how clothes would look on them through Claude.Last updated3019MIT
Related MCP Connectors
FastMCP commerce server starter: product catalog, search, and checkout. Deploy to Vercel in 5 min.
MCP server for Luma Dream Machine AI video generation
MCP server for Google Veo AI video generation
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/arnabgho/mcp-vybe'
If you have feedback or need assistance with the MCP directory API, please join our Discord server