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. - 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 optio
Add this skill
npx mdskills install yuna0x0/anilist-mcpComprehensive AniList API integration with 30+ tools, dual transport, and clear setup docs
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.
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.
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.
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.
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.
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.
To get an API token, follow these steps:
https://anilist.co/api/v2/oauth/pin
{clientID} with the client ID you get. It will ask you to log in and then provide you with the token to use..env file or environment variables.Can you search for anime similar to "Bocchi the Rock!"?
Can you tell me about the character Hitori Gotou? Use the AniList tools to find information.
What anime has Studio Ghibli produced? Can you list their most popular works?
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
.env file by copying the example:cp env.example .env
.env file and add your AniList API token:ANILIST_TOKEN=your_api_token
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:
This is particularly useful for testing your setup before connecting it to MCP clients like Claude Desktop.
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 .
To create an MCP Bundle for this server, run:
pnpm run pack:mcpb
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.
This project is licensed under the MIT License - see the LICENSE file for details.
Install via CLI
npx mdskills install yuna0x0/anilist-mcpAniList MCP Server is a free, open-source AI agent skill. 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. - 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 optio
Install AniList MCP Server with a single command:
npx mdskills install yuna0x0/anilist-mcpThis downloads the skill files into your project and your AI agent picks them up automatically.
AniList MCP Server works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.