What is the AniList API token used for?
The token is optional and only needed for operations that require login, such as posting activities, managing lists, favouriting items, or following users.
@yuna0x0
基本情報
AniList MCP server for accessing anime and manga data
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"anilist": {
"command": "npx",
"args": [
"-y",
"anilist-mcp"
],
"env": {
"ANILIST_TOKEN": "your_api_token"
}
}
}
}[Requires Login] Favourite or unfavourite a studio by its ID
Get all available genres on AniList
Get all available media tags on AniList
Get AniList site statistics over the last seven days
Get information about a studio by its AniList ID or name
[Requires Login] Delete the current authorized user's activity post
Get a specific AniList activity by its ID
Fetch activities from a user
[Requires Login] Post a new message activity or update an existing one
[Requires Login] Post a new text activity or update an existing one
[Requires Login] Add an entry to the authorized user's list
Get a user's anime list
Get a user's manga list
[Requires Login] Remove an entry from the authorized user's list
[Requires Login] Update an entry on the authorized user's list
Get detailed information about anime by AniList ID(s)
[Requires Login] Favourite or unfavourite an anime by its ID
[Requires Login] Favourite or unfavourite a manga by its ID
Get detailed information about manga by AniList ID(s)
Get information about a character by their AniList ID or name
[Requires Login] Favourite or unfavourite a character by its ID
[Requires Login] Favourite or unfavourite a staff member by their ID
Get all characters whose birthday is today
Get all staff members whose birthday is today
Get information about staff member by their AniList ID or name
Get an AniList recommendation by its ID
Get AniList recommendations for a specific media
Search for activities on AniList
Search for anime with query term and filters
Search for characters based on a query term
Search for manga with query term and filters
Search for staff members based on a query term
Search for studios based on a query term
Search for users on AniList
[Requires Login] Delete a thread by its ID
Get a specific thread by its AniList ID
Get comments for a specific thread
Get a user's complete profile and stats information
[Requires Login] Follow or unfollow a user by their ID
[Requires Login] Get profile information of the currently authorized user
Get recent activity from a user
Get a user's AniList profile
Get a user's AniList statistics
[Requires Login] Update user settings
AniList MCP Server is a Model Context Protocol server that interfaces with the AniList API, allowing LLM clients to access and interact with anime, manga, character, staff, and user data from AniList.
Install and add the server to your MCP client configuration (e.g., claude_desktop_config.json) using the npx -y anilist-mcp command. An optional ANILIST_TOKEN environment variable can be set for operations that require login. Then restart your MCP client and use the provided tools. The server also supports HTTP transport for cloud deployment.
The token is optional and only needed for operations that require login, such as posting activities, managing lists, favouriting items, or following users.
Node.js 18 or higher is required.
Yes, it can be deployed to any Node.js-compatible cloud platform and supports platforms like Smithery. Dual HTTP and STDIO transports are available.
Go to [AniList settings](https://anilist.co/settings/developer), create a new client, and follow the OAuth authorization flow with a redirect URL of `https://anilist.co/api/v2/oauth/pin` to generate the token.
The user can provide the token via the `Anilist-Token` HTTP header. If both the server environment variable and the header are set, the header value takes precedence.

Model Context Protocol Servers

Model Context Protocol Servers

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
コメント