TV Recommender
MCP server for tv recommender
What is TV Recommender?
TV Recommender is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for tv recommender
MCP server for tv recommender
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- get_recommendations_by_genre
- get_similar_shows
- get_show_details
Use Cases
Maintainer
Works with
Installation
NPM
npx -y tv-recommender-mcp-serverManual Installation
npx -y tv-recommender-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about TV Recommender
What is TV Recommender?
TV Recommender is a Model Context Protocol (MCP) server that mcp server for tv recommender It connects AI assistants to external tools and data sources through a standardized interface.
How do I install TV Recommender?
Install via npm with the command: npx -y tv-recommender-mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with TV Recommender?
TV Recommender works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is TV Recommender free to use?
Yes, TV Recommender is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up TV Recommender 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
Ready to use TV Recommender?
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