
anilist-mcp
MCP server enabling LLM access to AniList anime, manga, and user data.
Key Features
Use Cases
README
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
Prerequisites
- Node.js 18+
Using with Claude Desktop (or other MCP clients)
Installing via Smithery
To install AniList MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @yuna0x0/anilist-mcp --client claude
# For other MCP clients, use the following command:
# List available clients
npx -y @smithery/cli list clients
# Install to other clients
npx -y @smithery/cli install @yuna0x0/anilist-mcp --client <client_name>
Installing via mcp-get
npx @michaellatman/mcp-get@latest install anilist-mcp
Manual Installation
- Add this server to your
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.
- Restart Claude Desktop
- Use the tools to interact with AniList
Environment Variables
ANILIST_TOKEN
: (Optional) AniList API Token (Only needed for operations that require login)
Get an AniList API Token (Optional)
To get an API token, follow these steps:
- Go to AniList settings.
- Click on "Create New Client".
- Use this URL as your client's "Redirect URL":
https://anilist.co/api/v2/oauth/pin
- Click "Save"
- 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. - 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)
- Create a
.env
file by copying the example:
cp .env.example .env
- 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:
- Connect to your running AniList MCP server
- Browse available tools
- Run tools with custom parameters
- View the responses
This is particularly useful for testing your setup before connecting it to Claude or another AI assistant.
Docker
Pull from Docker Hub:
docker pull yuna0x0/anilist-mcp
Docker build (Local Development):
docker build -t yuna0x0/anilist-mcp .
Docker multi-platform build (Local Development):
docker buildx build --platform linux/amd64,linux/arm64 -t yuna0x0/anilist-mcp .
Security Notice
This MCP server accepts your AniList API token in the .env file or as an environment variable. 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.
Star History
Repository Owner
User
Repository Details
Programming Languages
Tags
Topics
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Related MCPs
Discover similar Model Context Protocol servers

cloudflare/mcp-server-cloudflare
Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.
Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.
- ⭐ 2,919
- MCP
- cloudflare/mcp-server-cloudflare

awslabs/mcp
Specialized MCP servers for seamless AWS integration in AI and development environments.
AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.
- ⭐ 6,220
- MCP
- awslabs/mcp

mcp-open-library
Model Context Protocol server for accessing Open Library book and author data.
Provides an implementation of a Model Context Protocol (MCP) server to enable AI assistants and clients to search and retrieve book and author information from the Open Library API. Supports searching by title, author name, and various identifiers, as well as fetching author photos and book covers. Returns structured, machine-readable data suitable for AI model context integration. Offers installation via Smithery, manual setup, and Docker deployment.
- ⭐ 34
- MCP
- 8enSmith/mcp-open-library

mcpmcp-server
Seamlessly discover, set up, and integrate MCP servers with AI clients.
mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.
- ⭐ 17
- MCP
- glenngillen/mcpmcp-server

mcp
Universal remote MCP server connecting AI clients to productivity tools.
WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.
- ⭐ 27
- MCP
- waystation-ai/mcp

pluggedin-mcp-proxy
Unified proxy server for Model Context Protocol data exchanges and AI integrations
Aggregates multiple Model Context Protocol (MCP) servers into a single, unified proxy interface, supporting real-time discovery, management, and orchestration of AI model resources, tools, and prompts. Enables seamless interaction between MCP clients such as Claude, Cline, and Cursor, while integrating advanced document search, AI document exchange, and workspace management. Provides flexible transport modes (STDIO and Streamable HTTP), robust authentication, and comprehensive security measures for safe and scalable AI data exchange.
- ⭐ 87
- MCP
- VeriTeknik/pluggedin-mcp-proxy
Didn't find tool you were looking for?