FastMCP RecSys
A CLIP-Based Fashion Recommender system that allows users to upload clothing images and receive tags and recommendations based on visual analysis.
What is FastMCP RecSys?
FastMCP RecSys is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to clip-based fashion recommender system that allows users to upload clothing images and receive tags and recommendations based on visual analysis.
A CLIP-Based Fashion Recommender system that allows users to upload clothing images and receive tags and recommendations based on visual analysis.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A CLIP-Based Fashion Recommender system that allows users to
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx fastmcp-recsysConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about FastMCP RecSys
What is FastMCP RecSys?
FastMCP RecSys is a Model Context Protocol (MCP) server that clip-based fashion recommender system that allows users to upload clothing images and receive tags and recommendations based on visual analysis. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install FastMCP RecSys?
Follow the installation instructions on the FastMCP RecSys GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with FastMCP RecSys?
FastMCP RecSys works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is FastMCP RecSys free to use?
Yes, FastMCP RecSys is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.
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Set Up FastMCP RecSys in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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