AniList MCP MCP Server

This MCP server provides seamless integration with AniList, a comprehensive anime and manga database, enabling users to access personalized recommendations and detailed analytics through their preferred AI interfaces. The server leverages the AniList API to deliver data-driven insights about anime and manga content, making it an essential tool for media enthusiasts seeking intelligent curation and analysis of their viewing and reading habits. By connecting to AniList's extensive catalog, users can discover new series, track their progress, and receive suggestions tailored to their preferences and viewing history.

The server supports multiple core capabilities including fetching user profile data, retrieving personalized anime and manga recommendations based on viewing history and ratings, querying comprehensive series information, and analyzing trends within user collections. It enables detailed analytics on watch time, completion rates, genre preferences, and seasonal viewing patterns. The implementation in TypeScript ensures robust performance and type-safe operations, providing reliable access to AniList's GraphQL API with full support for authentication and user-specific data retrieval.

The AniList MCP server is compatible with any client supporting the Model Context Protocol standard, including Claude Desktop and other MCP-enabled applications. Typical use cases encompass helping users discover new anime and manga series matching their tastes, providing analytics dashboards for media consumption patterns, assisting content creators in understanding audience preferences, and supporting community discussions about series recommendations. This makes it invaluable for casual viewers, dedicated collectors, and content platforms seeking enhanced recommendation capabilities.