Wetv Mcp

What is Wetv Mcp?

Wetv Mcp is a Model Context Protocol (MCP) server that enables AI assistants to search and recommend content from WeTV and Tencent Video, the largest Chinese-language streaming platform with over 350 million monthly active users. It fills the gap in MCP coverage for Chinese long-form video content.

How to use Wetv Mcp?

Clone the repository, install dependencies with npm install, build with npm run build, then add the server to your MCP configuration (e.g., Claude Desktop, Cursor, Windsurf, or WorkBuddy) using either stdio or Streamable HTTP transport. For HTTP mode, run npm run start:http and connect via URL at http://localhost:3000/mcp.

Key features of Wetv Mcp

• Full-text search across all content (search_content)
• Current trending/hot content rankings (get_trending)
• Most popular content by combined score (get_popular)
• Detailed info: synopsis, cast, rating, episodes (get_content_detail)
• Episode lists with air dates and play links (get_episodes)
• AI-powered personalized recommendations (get_recommendations)

Use cases of Wetv Mcp

• Ask your AI assistant "What Chinese drama should I watch?" and get real answers with play links and ratings.
• Discover trending dramas, variety shows, anime, and movies from WeTV and Tencent Video.
• Get detailed synopses, cast info, and episode updates for any show.
• Receive personalized romantic, action, or fantasy recommendations based on mood.
• Search for specific content and retrieve playable links across multiple Southeast Asian regions.

FAQ from Wetv Mcp

What content types does Wetv Mcp support?

Dramas, variety shows, anime, movies, and documentaries.

What regions are supported?

China Mainland, Thailand, Indonesia, Vietnam, Malaysia, Philippines, and Global.

How do I install Wetv Mcp?

Clone the repo, run npm install && npm run build, then configure the MCP client with either stdio command or HTTP URL.

What tools are available?

Six core tools: search_content, get_trending, get_popular, get_content_detail, get_episodes, and get_recommendations.

What are the runtime requirements?

Node.js and npm. The server runs via stdio (default) or Streamable HTTP on configurable port 3000. No external authentication is needed currently.