Cursor Sound MCP
カーソルサウンドMCP
Cursor AIがコード生成を完了した後にサウンドエフェクトを再生するモデルコンテキストプロトコル(MCP)実装。このMCPはCursorと統合され、よりインタラクティブなコーディング体験のためのオーディオフィードバックを提供します。
X.com の @EricListin に触発されて、エラーが出ずにオンラインになるようにコードにいくつか変更を加えました。
特徴
カーソルがコード生成を完了すると効果音が鳴ります
標準化された統合のためにモデルコンテキストプロトコル(MCP)を使用します
設定可能なサウンドエフェクト
エラー処理とログの改善
安定したJSONレスポンス形式
Related MCP server: MCP Sound Tool
カーソルルール
カーソルのカスタム指示にこれを追加します:
「何かタスクを完了したとき、または私に何か必要なときは、sound-mcp MCP サーバーを実行して私の注意を引いてください。」
インストール
依存関係をインストールします:
npm install効果音を追加する:サウンドファイルを
soundsディレクトリに配置します。デフォルトの効果音は以下のとおりです。
sounds/completion.mp3- コード生成後に再生されます
無料のサウンドエフェクトは freesound.org で見つかります。
プロジェクトをビルドします。
npm run build使用法
MCP サーバーを実行します。
npm startサーバーが起動し、stdio トランスポートを介してカーソルからのイベントをリッスンします。
構成
サウンド効果と音量は次のようにカスタマイズできます。
soundsディレクトリ内のサウンドファイルを置き換えるsrc/index.ts内のサウンドファイルパスを変更する
発達
自動再コンパイルを使用した開発の場合:
npm run devAvailable Tools
1 toolplayCompletionSoundC
Plays a completion sound when called
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It states the tool plays a sound, implying an auditory output, but doesn't disclose behavioral traits like whether it requires audio permissions, if it blocks execution, error handling, or what happens on failure. This is a significant gap for a tool with zero annotation coverage.
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?
The description is a single, efficient sentence with no wasted words. It's appropriately sized for a simple tool and front-loaded with the core action. Every word earns its place, making it highly concise and well-structured.
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 simplicity (0 parameters, no output schema), the description is incomplete. It lacks context about the sound's source, volume, duration, or system requirements. With no annotations to fill gaps, the description should provide more detail to ensure the agent understands how to invoke 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 tool has 0 parameters, and schema description coverage is 100% (as there are no parameters to describe). The description doesn't need to add parameter semantics, so a baseline score of 4 is appropriate, reflecting that no additional information is required beyond the empty schema.
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 states the tool's purpose ('Plays a completion sound when called'), which is clear but vague. It specifies the action ('Plays') and resource ('a completion sound'), but lacks detail about what constitutes a 'completion sound' or how it's played. With no sibling tools, differentiation isn't needed, but the purpose remains somewhat ambiguous.
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?
The description provides no guidance on when to use this tool. It doesn't specify appropriate contexts (e.g., after a task finishes), prerequisites, or alternatives. With no sibling tools, this isn't a comparative issue, but the lack of any usage context leaves the agent without direction.
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
v1.0.0- First observed
playCompletionSound
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The single tool has a clear, distinct purpose that cannot be mistaken for another.
A single tool inherently has perfect naming consistency, as there are no other names to compare it against. The tool name 'playCompletionSound' follows a clear verb_noun pattern.
One tool is too few for a server's purpose, as it severely limits functionality and suggests the server is trivial or incomplete. A single sound-playing tool does not justify a full MCP server.
The server is severely incomplete, as it only offers a single sound-playing tool with no other related operations (e.g., stop sound, list sounds, adjust volume). This minimal surface fails to cover any meaningful domain.
Maintenance
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Related MCP Servers
- FlicenseDqualityDmaintenanceProvides audio feedback by playing sound effects when Cursor AI completes code generation, creating a more interactive coding experience.119-
- AlicenseAqualityFmaintenanceA Model Context Protocol implementation that plays sound effects (completion, error, notification) for Cursor AI and other MCP-compatible environments, providing audio feedback for a more interactive coding experience.31MIT
- AlicenseNot gradedqualityFmaintenanceProvides audio playback functionality for AI agents, allowing them to play notification sounds when coding tasks are completed.1MIT
- AlicenseBqualityDmaintenancePlays sound effects (completion, newtype, and error sounds) in response to various situations like task completion, insights, or errors. Integrates with Claude Desktop to provide audio feedback for improved workflow efficiency and entertainment.216 npm6MIT