AniList MCP server for accessing anime and manga data
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.
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>
npx @michaellatman/mcp-get@latest install anilist-mcp
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.
ANILIST_TOKEN
: (Optional) AniList API Token (Only needed for operations that require login)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 Bun as its package manager. You should install it if you haven’t already.
Clone the repository and install dependencies:
git clone https://github.com/yuna0x0/anilist-mcp.git
cd anilist-mcp
bun 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
bun run inspector
Then open your browser to the provided URL (usually http://127.0.0.1:6274) to access the MCP Inspector interface. From there, you can:
This is particularly useful for testing your setup before connecting it to Claude or another AI assistant.
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 .
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.
This project is licensed under the MIT License - see the LICENSE file for details.
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