AniList

AniList

An MCP server interfacing with AniList API to access anime, manga, user data, and more.

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Overview

A Model Context Protocol (MCP) server that bridges LLM clients with the AniList API. It enables querying and retrieval of a broad range of AniList data, including anime, manga, characters, staff, studios, user profiles, and lists. The server supports advanced filtering to refine searches and can fetch genres and media tags to enrich results. It offers dual transport options: HTTP for hosted deployments and STDIO for local tool integration with MCP clients. It is cloud deployment ready, with guidance for Smithery and other platforms. Configuration supports an AniList API token supplied via environment variables (ANILIST_TOKEN) or HTTP headers (Anilist-Token) when using the HTTP transport, with header values taking precedence if both are present. A local development workflow includes pnpm and environment file (.env) configuration. The server exposes tools for searching, retrieving detailed media info, user data, and managing lists, designed to integrate with MCP clients such as Claude Desktop. A security note advises keeping tokens secure and not committing them to version control, as tokens can be used to access user data.

Details

Owner
yuna0x0
Language
TypeScript
License
MIT License
Updated
2025-12-07

Features

Search for anime, manga, characters, staff, and studios

Interactively search AniList catalog across media types and entities.

Get detailed information about specific anime, manga, characters, and staff members

Retrieve in-depth data for individual media, characters, and staff.

Access user profiles and lists

Fetch user profiles and their anime/manga lists from AniList.

Support for advanced filtering options

Refine searches and queries with a variety of advanced filters.

Retrieve genres and media tags

Obtain available genres and media tags used by AniList.

Dual transport support: HTTP and STDIO transports

Operate via HTTP transport for hosted deployments or STDIO for local tool integration with MCP clients.

Cloud deployment ready: Smithery and other platforms

Designed for deployment on Smithery and other cloud platforms.