Bilibili MCP MCP Server

This TypeScript-based MCP server seamlessly integrates Bilibili's vast video ecosystem into Claude and other AI applications, enabling intelligent search and real-time discovery of trending content. The server bridges the gap between AI assistants and one of Asia's largest video platforms, allowing users to programmatically access comprehensive video information, recommendations, and trending insights without manual browsing.

The Bilibili MCP server offers robust capabilities for querying video content across multiple categories, retrieving detailed metadata including titles, descriptions, creators, and engagement metrics. It supports advanced search functionality with filtering options, trending content aggregation across different genres and time periods, and integration with user watchlists. The server provides structured data responses optimized for AI processing, enabling contextual understanding of content popularity, viewer demographics, and emerging trends within Bilibili's platform ecosystem.

This community-developed server is fully compatible with Claude Desktop and other MCP-supporting clients, making it ideal for content researchers, media analysts, and creators seeking comprehensive Bilibili insights. Typical use cases include trend analysis, content discovery for international audiences, competitive research across Asian video platforms, and AI-powered content recommendations. The integration empowers developers and researchers to leverage Bilibili's extensive content library programmatically while maintaining seamless interaction with advanced language models for analysis and synthesis.