PluginBench
MCP Server
Maintained
MIT

ai.smithery/yuna0x0-anilist-mcp MCP Server

ai.smithery/yuna0x0-anilist-mcp

Access anime, manga, character, and user data from AniList via MCP.

What is the ai.smithery/yuna0x0-anilist-mcp MCP server?

The AniList MCP Server is a Model Context Protocol server that interfaces with the AniList API, enabling LLM clients to search and retrieve detailed information about anime, manga, characters, staff, studios, and user profiles. It supports both STDIO and HTTP transports, with optional authentication for user-specific operations.

This server connects Claude and other AI clients to AniList's comprehensive anime and manga database. You can search for titles, retrieve character and staff information, access user profiles and lists, manage favorites, post activities, and get recommendations—all through natural language queries. Optional AniList authentication unlocks write operations like updating your anime/manga list and posting activities.

How to install ai.smithery/yuna0x0-anilist-mcp

Copy-paste configuration for popular MCP clients.

transport: http
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • Authorization

    Bearer token for Smithery authentication

~/.cursor/mcp.json
{
  "mcpServers": {
    "yuna0x0-anilist-mcp": {
      "url": "https://server.smithery.ai/@yuna0x0/anilist-mcp/mcp"
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • search_anime — Search for anime with query term and filters
  • search_manga — Search for manga with query term and filters
  • search_character — Search for characters based on a query term
  • search_staff — Search for staff members based on a query term
  • search_studio — Search for studios based on a query term
  • search_user — Search for users on AniList
  • search_activity — Search for activities on AniList
  • get_anime — Get detailed information about an anime by its AniList ID
  • get_manga — Get detailed information about a manga by its AniList ID
  • get_character — Get information about a character by their AniList ID
  • get_staff — Get information about a staff member by their AniList ID
  • get_studio — Get information about a studio by its AniList ID or name
  • get_user_profile — Get a user's AniList profile
  • get_user_stats — Get a user's AniList statistics
  • get_full_user_info — Get a user's complete profile and stats information
  • get_user_anime_list — Get a user's anime list
  • get_user_manga_list — Get a user's manga list
  • get_genres — Get all available genres on AniList
  • get_media_tags — Get all available media tags on AniList
  • get_site_statistics — Get AniList site statistics over the last seven days

Use cases

  • Search for anime and manga by title, genre, or tags and get detailed information including synopsis, ratings, and episode counts
  • Retrieve character and staff information to learn about voice actors, creators, and character backgrounds
  • Access and manage your AniList profile, anime/manga lists, and favorites with authentication
  • Discover recommendations for anime and manga similar to titles you enjoy
  • Get real-time AniList statistics and browse user profiles and community activities

ai.smithery/yuna0x0-anilist-mcp MCP server FAQ

What is the AniList MCP Server?

It's an MCP server that connects AI clients like Claude to AniList's anime and manga database. You can search for titles, characters, staff, and user information, plus manage your personal lists and activities if authenticated.

Is it free to use?

Yes, the server itself is free and open-source (MIT License). AniList API access is also free, though you need an AniList account for write operations like updating your lists.

How do I install it in Claude Desktop?

Add it to your claude_desktop_config.json with: {"anilist": {"command": "npx", "args": ["-y", "anilist-mcp"]}}. Optionally set ANILIST_TOKEN in the env object if you want to use authenticated features.

Do I need an AniList API token?

No, it's optional. Without a token, you can search and retrieve public data. With a token, you unlock write operations like adding to your list, posting activities, and managing favorites.

How do I get an AniList API token?

Go to https://anilist.co/settings/developer, create a new client with redirect URL https://anilist.co/api/v2/oauth/pin, then authorize at https://anilist.co/api/v2/oauth/authorize?client_id={clientID} to receive your token.

What transport methods are supported?

Both STDIO (for local Claude Desktop) and HTTP (for cloud deployment via Smithery or self-hosting). The remote endpoint is available at https://server.smithery.ai/@yuna0x0/anilist-mcp/mcp.

README (reference)

Source of truth, from the repository.

AniList MCP Server

A Model Context Protocol (MCP) server that interfaces with the AniList API, allowing LLM clients to access and interact with anime, manga, character, staff, and user data from AniList.

Features

  • Search for anime, manga, characters, staff, and studios
  • Get detailed information about specific anime, manga, characters, and staff members
  • Access user profiles and lists
  • Support for advanced filtering options
  • Retrieve genres and media tags
  • Dual transport support: Both HTTP and STDIO transports
  • Cloud deployment ready: Support Smithery and other platforms

Requirements

  • Node.js 18+

Local Installation (STDIO Transport)

  1. Add this server to your mcp.json / claude_desktop_config.json:
{
  "mcpServers": {
    "anilist": {
      "command": "npx",
      "args": ["-y", "anilist-mcp"],
      "env": {
        "ANILIST_TOKEN": "your_api_token"
      }
    }
  }
}

You may remove the env object entirely, if you are not planning to use the AniList Token for operations that require login.

  1. Restart your MCP client (e.g., Claude Desktop)
  2. Use the tools to interact with AniList

Server Deployment (HTTP Transport)

Self-Hosting

Follow the Local Development instructions to set up the project locally, then run:

pnpm run start:http

This will start the server on port 8081 by default. You can change the port by setting the PORT environment variable.

Cloud Deployment

You can deploy this MCP server to any cloud platform that supports Node.js server applications.

You can also deploy via MCP platforms like Smithery.

Configuration

Environment Variables (STDIO Transport and HTTP Transport server where host provides the config)

When using the STDIO transport or hosting the HTTP transport server, you can pass configuration via environment variables:

  • ANILIST_TOKEN: (Optional) AniList API Token (Only needed for operations that require login)

[!CAUTION] If you are hosting the HTTP transport server with token pre-configured, you should protect your endpoint and implement authentication before allowing users to access it. Otherwise, anyone can access your MCP server while using your AniList token.

HTTP Headers (HTTP Transport where user provides the config)

When using the HTTP transport, user can pass configuration via HTTP headers:

  • Anilist-Token: (Optional) AniList API Token (Only needed for operations that require login)

If the user provides the token in the header, while the server also has ANILIST_TOKEN set, the header value will take precedence.

Get an AniList API Token (Optional)

To get an API token, follow these steps:

  1. Go to AniList settings.
  2. Click on "Create New Client".
  3. Use this URL as your client's "Redirect URL":
https://anilist.co/api/v2/oauth/pin
  1. Click "Save"
  2. Then go to https://anilist.co/api/v2/oauth/authorize?client_id={clientID}&response_type=token, replace the {clientID} with the client ID you get. It will ask you to log in and then provide you with the token to use.
  3. Copy the generated token and use it in your .env file or environment variables.

Available Tools

Misc Tools

  • get_genres: Get all available genres on AniList
  • get_media_tags: Get all available media tags on AniList
  • get_site_statistics: Get AniList site statistics over the last seven days
  • get_studio: Get information about a studio by its AniList ID or name
  • favourite_studio: [Requires Login] Favourite or unfavourite a studio by its ID

Activity Tools

  • delete_activity: [Requires Login] Delete the current authorized user's activity post
  • get_activity: Get a specific AniList activity by its ID
  • get_user_activity: Fetch activities from a user
  • post_message_activity: [Requires Login] Post a new message activity or update an existing one
  • post_text_activity: [Requires Login] Post a new text activity or update an existing one

List Tools

  • get_user_anime_list: Get a user's anime list
  • get_user_manga_list: Get a user's manga list
  • add_list_entry: [Requires Login] Add an entry to the authorized user's list
  • remove_list_entry: [Requires Login] Remove an entry from the authorized user's list
  • update_list_entry: [Requires Login] Update an entry on the authorized user's list

Media Tools

  • get_anime: Get detailed information about an anime by its AniList ID
  • get_manga: Get detailed information about a manga by its AniList ID
  • favourite_anime: [Requires Login] Favourite or unfavourite an anime by its ID
  • favourite_manga: [Requires Login] Favourite or unfavourite a manga by its ID

People Tools

  • get_character: Get information about a character by their AniList ID
  • get_staff: Get information about staff member by their AniList ID
  • favourite_character: [Requires Login] Favourite or unfavourite a character by its ID
  • favourite_staff: [Requires Login] Favourite or unfavourite a staff member by their ID
  • get_todays_birthday_characters: Get all characters whose birthday is today
  • get_todays_birthday_staff: Get all staff members whose birthday is today

Recommendation Tools

  • get_recommendation: Get an AniList recommendation by its ID
  • get_recommendations_for_media: Get AniList recommendations for a specific media

Search Tools

  • search_activity: Search for activities on AniList
  • search_anime: Search for anime with query term and filters
  • search_manga: Search for manga with query term and filters
  • search_character: Search for characters based on a query term
  • search_staff: Search for staff members based on a query term
  • search_studio: Search for studios based on a query term
  • search_user: Search for users on AniList

Thread Tools

  • get_thread: Get a specific thread by its AniList ID
  • get_thread_comments: Get comments for a specific thread
  • delete_thread: [Requires Login] Delete a thread by its ID

User Tools

  • get_user_profile: Get a user's AniList profile
  • get_user_stats: Get a user's AniList statistics
  • get_full_user_info: Get a user's complete profile and stats information
  • get_user_recent_activity: Get recent activity from a user
  • get_authorized_user: [Requires Login] Get profile information of the currently authorized user
  • follow_user: [Requires Login] Follow or unfollow a user by their ID
  • update_user: [Requires Login] Update user settings

Example Usage

Basic Anime Search

Can you search for anime similar to "Bocchi the Rock!"?

Get Character Info

Can you tell me about the character Hitori Gotou? Use the AniList tools to find information.

Compare Studio Works

What anime has Studio Ghibli produced? Can you list their most popular works?

Local Development

This project uses pnpm as its package manager.

Clone the repository and install dependencies:

git clone https://github.com/yuna0x0/anilist-mcp.git
cd anilist-mcp
pnpm install

Configuration (Optional)

  1. Create a .env file by copying the example:
cp env.example .env
  1. Edit the .env file and add your AniList API token:
ANILIST_TOKEN=your_api_token

Debugging with MCP Inspector

You can use the MCP Inspector to test and debug the AniList MCP server:

npx @modelcontextprotocol/inspector -e ANILIST_TOKEN=your_api_token npx anilist-mcp

# Use this instead when Local Development
pnpm run inspector

Then open your browser to the provided URL (usually http://localhost:6274) to access the MCP Inspector interface. From there, you can:

  1. Connect to your running AniList MCP server
  2. Browse available tools
  3. Run tools with custom parameters
  4. View the responses

This is particularly useful for testing your setup before connecting it to MCP clients like Claude Desktop.

Docker

Pull from GitHub Container Registry:

docker pull ghcr.io/yuna0x0/anilist-mcp

Docker build (Local Development):

docker build -t ghcr.io/yuna0x0/anilist-mcp .

Docker multi-platform build (Local Development):

docker buildx build --platform linux/amd64,linux/arm64 -t ghcr.io/yuna0x0/anilist-mcp .

MCP Bundles (MCPB)

To create an MCP Bundle for this server, run:

pnpm run pack:mcpb

Security Notice

This MCP server accepts your AniList API token in the .env file, environment variable or HTTP header. Keep this information secure and never commit it to version control.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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