MyAnimeList MCP Server

The MyAnimeList MCP Server bridges the gap between conversational AI assistants and the rich data ecosystem of MyAnimeList, a leading platform for anime and manga enthusiasts. By exposing a suite of tools that mirror the official MyAnimeList API, this server enables LLM clients—such as Claude Desktop—to query, retrieve, and manipulate anime, manga, and user data in real‑time. This eliminates the need for developers to write custom API wrappers or handle OAuth flows manually, streamlining the integration of anime metadata into chat‑based workflows.

At its core, the server offers a comprehensive set of Anime, Manga, and User tools. Users can search for titles, fetch detailed information (including studios, broadcasting schedules, and recommendations), and explore seasonal or ranking lists. Authenticated endpoints allow the logged‑in user to view, update, or delete entries from their personal anime/manga lists—mirroring the native MyAnimeList experience within an AI conversation. The inclusion of user‑specific actions (e.g., , ) means assistants can act as a personalized recommendation engine, adjusting suggestions based on the user's existing catalog.

Developers benefit from the server’s seamless integration with MCP‑compliant clients. Once installed, an assistant can invoke any tool as a natural language command: “Show me the top 10 anime of 2024” or “Add Attack on Titan to my list.” The server handles authentication, rate limiting, and data transformation, freeing developers from boilerplate code. This tight coupling allows for sophisticated use cases such as building a virtual anime curator, creating interactive study guides that pull in manga summaries, or powering fan‑based chatbots that can fetch live rankings during a conversation.

Key advantages include:

• Auth‑aware operations: Securely manage user sessions and perform write actions without exposing credentials.
• Rich, filtered queries: Search by genre, status, rating, and more, providing precise results tailored to the user’s intent.
• Seasonal & ranking insights: Quickly surface trending titles, making it ideal for content discovery or recommendation engines.
• Cross‑domain data: Seamlessly combine anime, manga, and user profile information within a single conversational context.

In real‑world scenarios, this MCP server shines for developers building fan sites, streaming recommendation bots, or educational tools that need up‑to‑date anime and manga data. By encapsulating the complexities of MyAnimeList’s API behind intuitive MCP tools, it empowers AI assistants to deliver instant, context‑aware content—transforming static knowledge bases into dynamic, user‑centric experiences.