Spotify-Claude MCP Server
Spotify-Claude MCP サーバー
Spotify API に接続し、Claude を AI アシスタントとして使用して音楽の発見とインタラクション機能を強化するツールです。
概要
このプロジェクトは、モデル制御プロトコル(MCP)サーバーを介してClaude AIとSpotify APIを統合します。これにより、ユーザーはClaudeによって処理される自然言語クエリを使用してSpotifyアカウントを操作できるようになります。
Related MCP server: Spotify MCP Server
特徴
現在、ClaudeはSpotifyAPIを使用してアーティスト情報を取得できます。これは、トップトラックやジャンルの取得、プレイリストの作成、ユーザープロフィールデータの取得など、他のクエリにも拡張できます。
前提条件
Spotify開発者アカウント
Spotify API 資格情報 (クライアント ID とクライアント シークレット)
クロードデスクトップ
インストール
リポジトリをクローンします。
git clone https://github.com/DivyamAgg24/SpotifyMCP.git
cd SpotifyMCP依存関係をインストールします:
npm install環境変数を設定します。次の変数を含む .env ファイルをルート ディレクトリに作成します。
SPOTIFY_CLIENT_ID=your_spotify_client_id
SPOTIFY_CLIENT_SECRET=your_spotify_client_secret
SPOTIFY_ACCESS_TOKEN=access_token_obtained_from_clientId_and_clientSecret構成
Spotify開発者ダッシュボードにアプリを登録します。Spotifyアプリ設定でリダイレクトURIとしてhttp://localhost:8888/callbackを追加します。クライアントIDとクライアントシークレットを.envファイルにコピーします。
使用法
プロジェクトを構築する
tsc -bClaude 構成ファイルに MCP サーバー構成を追加する
クロードにアーティストの名前を尋ねる
ツール機能
MCP サーバーは、Claude に次の関数を公開します。
get_artist(name): アーティストに関する情報を取得します
やり取りの例
User: "What is the artist name?"
Claude: [Uses get_artist function] "The artist name is Pitbull."MCP サーバー: Claude と Spotify API 間の通信を処理します。Spotify API クライアント: Spotify Claude への認証と API リクエストを管理します。統合: 自然言語を処理し、呼び出す関数を決定します。
Available Tools
1 toolget_artistD
Get Artist name
| Name | Required | Description | Default |
|---|---|---|---|
| method | Yes | Get or post request |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. The description 'Get Artist name' doesn't reveal any behavioral traits—it doesn't mention whether this is a read-only operation, what authentication might be required, potential rate limits, error conditions, or what the response format looks like. For a tool with zero annotation coverage, this is completely inadequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
While the description is brief with just two words, this represents under-specification rather than effective conciseness. The text doesn't earn its place by providing useful information—it's too sparse to be helpful. A truly concise description would still convey essential purpose and context efficiently, which this fails to do.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's purpose (retrieving artist information) with no annotations and no output schema, the description is completely inadequate. It doesn't explain what the tool returns, how results are formatted, or any behavioral aspects. For a data retrieval tool, this leaves critical gaps that would hinder an AI agent's ability to use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description provides no information about parameters, but the input schema has 100% description coverage with a single parameter 'method' documented as 'Get or post request'. Since schema coverage is high, the baseline score is 3. The description doesn't add any value beyond what the schema already provides, but it also doesn't detract from the existing documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Get Artist name' is a tautology that essentially restates the tool name 'get_artist' with minor variation. It doesn't specify what resource is being retrieved (e.g., artist information from a database, API, or service) or provide any meaningful context about the operation. While it includes a verb ('Get'), it lacks specificity about what exactly is being obtained beyond the obvious from the name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There are no usage guidelines provided in the description. It doesn't indicate when to use this tool, what prerequisites might be needed, or any alternative approaches. With no sibling tools mentioned, the absence of guidance is still problematic as it leaves the agent without context for proper tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
get_artist
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'get_artist' has a clear, distinct purpose that cannot be confused with any other tool in this set.
The naming follows a consistent verb_noun pattern with 'get_artist'. With only one tool, there is no inconsistency to evaluate, and the naming convention is clear and appropriate for the tool's function.
A single tool is too few for a server named 'Spotify-Claude MCP Server', which suggests a broader music or artist domain. This minimal toolset severely limits functionality and does not provide adequate coverage for typical Spotify-related tasks like searching, playing, or managing playlists.
The tool surface is severely incomplete for a Spotify server. It only allows getting an artist name, with no support for other core operations such as searching for tracks, playing music, managing playlists, or accessing album information, making it impractical for most agent workflows.
Maintenance
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