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Ani MCP Server

@GavMason

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

GavMason

投稿者

Gavin Mason

Ani MCP Server について

概要はまだありません

Ani MCP Server の設定

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": {
    "ani-mcp": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "ani-mcp",
        "."
      ]
    }
  }
}

Ani MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Ani Mcp?

Ani Mcp is a smart MCP (Model Context Protocol) server for AniList that adds an intelligence layer beyond raw API calls. It builds a taste profile from your completed list to deliver personalized picks, compatibility comparisons, sequel alerts, watch order, session planning, and year-in-review summaries, plus standard search, list management, and social features. Suitable for any MCP-compatible client.

How to use Ani Mcp?

Install by adding to your MCP client config (e.g., claude_desktop_config.json) with the command npx -y ani-mcp and an optional ANILIST_USERNAME environment variable. Also available via Docker or building from source. For write operations and private lists, set ANILIST_TOKEN with an AniList OAuth token.

Key features of Ani Mcp

  • Taste profiling from your completed list
  • Personalized picks based on mood
  • Compare taste compatibility between users
  • Sequel alerts for finished shows
  • Watch order for franchises
  • Session planning with time budget

Use cases of Ani Mcp

  • "What should I watch next?" – uses taste profile and planning list
  • "I want something dark and psychological" – mood-filtered picks
  • "What's good this season?" – ranks seasonal anime by taste
  • "I have 90 minutes, what should I watch?" – time‑budgeted session planning
  • "Any sequels airing for stuff I've finished?" – cross‑references completed list

よくある質問

1

What does Ani Mcp do differently from other AniList integrations?

It adds an intelligence layer: taste profiling, personalized picks, compatibility scoring, sequel detection, watch order traversal, and session planning – not just 1:1 API mirroring.

2

What are the requirements to run Ani Mcp?

Node.js (via npx or Docker), an internet connection, and an optional AniList username. Write operations need an AniList OAuth token set in `ANILIST_TOKEN`.

3

Does Ani Mcp store my data?

No. It runs locally, sends requests only to the AniList API, stores nothing, and collects no analytics. See PRIVACY.md for details.

4

What transport does Ani Mcp use?

Default is stdio. Set `MCP_TRANSPORT` to `http` for HTTP Stream transport on port 3000 (configurable via `MCP_PORT` and `MCP_HOST`).

5

Is authentication required?

No. An AniList username is optional for defaults; call tools can pass it per‑call. A token is required only for write operations (e.g., adding to list, rating) and accessing private lists.

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