Korean Entertainment

by carasjung

398 downloads
Not rated
GitHub

About

Comprehensive Korean movie and TV database with Nielsen Korea episode ratings, KOBIS box office, MyDramaList tags, JustWatch streaming, and 5 award ceremonies. 17 tools, 10 data sources.

Details

Author
carasjung
Downloads
398
Categories
Media, Database

- Nielsen Korea per-episode viewership ratings from Naver TV
- Korean audience scores (verified ticket buyer + netizen)
- MDL community tags for K-drama discovery
- KOBIS official weekly box office rankings
- Five major award ceremonies (KBS, MBC, SBS, Blue Dragon, Baeksang)
- Streaming availability data for US/UK/CA/AU markets

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Korean Entertainment
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

The server runs remotely with OAuth 2.1 authentication via Descope. Connect via URL with no API keys required, then use any of the 17 available tools such as search_titles, get_trending_dramas, get_movie, or get_episode_ratings.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "korean entertainment": {
            "korean-entertainment": {
                "url": "https://kr-movie-tv-mcp-production.up.railway.app/mcp"
            }
        }
    }
}

McpServers

{
    "korean-entertainment": {
        "url": "https://kr-movie-tv-mcp-production.up.railway.app/mcp"
    }
}

Korean Entertainment MCP Server

Comprehensive database of Korean movies and TV shows built from 10 data sources, exposing data that previously required visiting 6+ separate websites.
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