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MCP Sound Tool

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Herramienta de sonido MCP

Una implementación del Protocolo de Contexto de Modelo (MCP) que reproduce efectos de sonido para Cursor AI y otros entornos compatibles con MCP. Esta implementación de Python proporciona retroalimentación de audio para una experiencia de programación más interactiva.

Características

  • Reproduce efectos de sonido para varios eventos (finalización, error, notificación)

  • Utiliza el Protocolo de contexto de modelo (MCP) para la integración estandarizada con Cursor y otros IDE

  • Compatibilidad multiplataforma (Windows, macOS, Linux)

  • Efectos de sonido configurables

Related MCP server: MCP Notify Server

Instalación

Compatibilidad de versiones de Python

Este paquete se ha probado con Python 3.8-3.11. Si encuentra errores con Python 3.12 o posterior (en particular, excepciones como BrokenResourceError o TaskGroup ), pruebe con una versión anterior de Python.

Recomendado: Instalar con pipx

La forma recomendada de instalar mcp-sound-tool es con pipx , que instala el paquete en un entorno aislado y hace que los comandos estén disponibles globalmente:

# Install pipx if you don't have it
python -m pip install --user pipx
python -m pipx ensurepath

# Install mcp-sound-tool
pipx install mcp-sound-tool

Este método garantiza que la herramienta tenga su propio entorno aislado, evitando conflictos con otros paquetes.

Alternativa: Instalar con pip

También puedes instalarlo directamente con pip:

pip install mcp-sound-tool

De la fuente

  1. Clonar este repositorio:

    git clone https://github.com/yourusername/mcp-sound-tool
cd mcp-sound-tool

  2. Instalar con pipx directamente desde el directorio de origen:

    pipx install .

    O con pip:

    pip install -e .

Uso

Agregar archivos de sonido

Coloque sus archivos de sonido en el directorio sounds . Se esperan los siguientes archivos de sonido:

  • completion.mp3 - Se reproduce después de la generación del código

  • error.mp3 - Se reproduce cuando ocurre un error

  • notification.mp3 - Se utiliza para notificaciones generales

Puede encontrar efectos de sonido gratuitos en sitios web como freesound.org.

Ejecución del servidor MCP

Ejecute el servidor MCP:

mcp-sound-tool

El servidor se iniciará y escuchará eventos de Cursor u otros clientes compatibles con MCP a través del transporte stdio.

Configuración en el cursor

Para utilizar este servidor con Cursor, agréguelo a su archivo de configuración de MCP:

En macOS:

// ~/Library/Application Support/Cursor/mcp.json
{
  "mcpServers": {
    "sound": {
      "command": "mcp-sound-tool",
      "args": [],
      "type": "stdio",
      "pollingInterval": 5000,
      "startupTimeout": 10000,
      "restartOnFailure": true
    }
  }
}

En Windows:

// %APPDATA%/Cursor/mcp.json
{
  "mcpServers": {
    "sound": {
      "command": "mcp-sound-tool",
      "args": [],
      "type": "stdio",
      "pollingInterval": 5000,
      "startupTimeout": 10000,
      "restartOnFailure": true
    }
  }
}

Cuando se instala con pipx , el comando mcp-sound-tool estará disponible en su PATH, por lo que Cursor podrá encontrarlo y ejecutarlo sin especificar la ruta completa.

Pautas de uso de Sound MCP para modelos de IA

Este servidor MCP ofrece funciones de retroalimentación de audio para interacciones con IA. Está diseñado para mejorar la experiencia del usuario al proporcionar señales de audio claras que indican el estado de las operaciones sin necesidad de que el usuario lea texto.

Cuándo utilizar la retroalimentación sonora

Los agentes de IA deben utilizar las herramientas de sonido de forma proactiva en los momentos adecuados:

  1. Sonidos de éxito ( completion ) :

    • Después de que una tarea o comando se haya completado con éxito

    • Cuando una operación importante ha finalizado con éxito

    • Al confirmar que se ha cumplido la solicitud de un usuario

  2. Sonidos de error ( error ) :

    • Cuando un comando ha fallado o ha encontrado un error

    • Al advertir al usuario sobre un problema

    • Cuando una operación no se pudo completar según lo solicitado

  3. Sonidos de notificación ( notification ) :

    • Al alertar al usuario sobre información importante

    • Al solicitar la atención o la entrada del usuario

    • Para actualizaciones de estado sobre operaciones de larga duración

Ejemplo de uso

# When a command completes successfully
@mcp.tool()
def execute_command(command):
    result = run_command(command)
    if result.success:
        play_sound("completion")  # Indicate success with audio
        return "Command executed successfully"
    else:
        play_sound("error")  # Indicate failure with audio
        return f"Error: {result.error_message}"

Herramientas disponibles

  1. play_sound(sound_type="completion", custom_sound_path=None) : Reproducir un efecto de sonido

  2. list_available_sounds() : enumera todos los archivos de sonido disponibles

  3. install_to_user_dir() : instala archivos de sonido en el directorio de configuración del usuario

Para obtener más detalles, conéctese al servidor MCP y consulte las descripciones de las herramientas.

Desarrollo

Para desarrollo:

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

Expresiones de gratitud

  • SIAM-TheLegend por crear la implementación original de JavaScript sound-mcp que inspiró esta versión de Python

  • Los desarrolladores del protocolo MCP para crear un estándar poderoso para las interacciones de herramientas de IA

  • Contribuyentes a las pruebas y documentación

Licencia

Este proyecto está licenciado bajo la licencia MIT: consulte el archivo de LICENCIA para obtener más detalles.

Available Tools

3 tools
install_to_user_dirA
    Install sound files to user's config directory.
    
    WHEN TO USE THIS TOOL:
    - When the user wants to customize the sound files
    - When setting up the sound tool for the first time
    - When troubleshooting missing sound files
    
    This tool copies the default sound files to the user's configuration directory
    where they can be modified or replaced with custom sounds.
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must cover behavioral traits. It states the tool copies default sound files to the config directory for modification, but lacks details on whether files are overwritten, directory creation, or error conditions. This provides basic but incomplete behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, uses bullet points for clarity, and front-loads the core action in the first line. Every sentence adds value with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool with an output schema, the description adequately covers purpose and usage scenarios. It does not elaborate on return values (not required due to output schema) or side effects like overwriting, but the simplicity of the tool makes this likely sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, making schema coverage trivially 100%. Per the rubric, a baseline of 4 applies. No parameter information is needed, and the description does not need to add any.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the primary action: 'Install sound files to user's config directory.' This is a specific verb-resource combination that distinguishes it from sibling tools list_available_sounds and play_sound, which are read and playback operations respectively.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes explicit 'WHEN TO USE THIS TOOL' bullets, covering customization, first-time setup, and troubleshooting. While it does not specify when not to use or explicitly name alternatives, the use cases are clear and distinct from siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_available_soundsA
    List all available notification sounds.
    
    WHEN TO USE THIS TOOL:
    - When you need to check what sound options are available
    - When determining if a specific sound file exists
    - Before using a custom sound to verify available options
    
    This tool helps you discover what sounds are available for providing audio feedback.
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It implies read-only fetching of available sounds, but does not explicitly state that it is safe, nondestructive, or what the output format is. Since it's a simple list tool, this is adequate but not fully transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with only two sentences plus a bulleted usage section. It front-loads the purpose and uses clear formatting, making it easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool complexity (no parameters), the presence of an output schema, and the absence of annotations, the description fully covers the tool's purpose and usage. No additional details are needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has no parameters, and schema coverage is 100%. The description adds value by explaining the purpose, aligning with the baseline score of 4 for parameterless tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists all available notification sounds. It uses specific verb 'list' and resource 'notification sounds', distinguishing it from sibling tools like 'play_sound' and 'install_to_user_dir'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly provides three scenarios for when to use the tool: checking available options, verifying existence of a specific sound, and before using a custom sound. This gives clear guidance without needing to mention alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

play_soundA
    Play a notification sound on the user's device.
    
    WHEN TO USE THIS TOOL:
    - Use 'completion' sound when a task or command has SUCCESSFULLY completed
    - Use 'error' sound when a command has FAILED or an error has occurred
    - Use 'notification' sound for important alerts or information that needs attention
    - Use 'custom' sound only when you need a specific sound not covered by the standard types
    
    AI agents SHOULD proactively use these sounds to provide audio feedback based on
    the outcome of commands or operations, enhancing the user experience with
    non-visual status indicators.
    
    Example usage: After executing a terminal command, play a 'completion' sound if 
    successful or an 'error' sound if it failed.
ParametersJSON Schema
NameRequiredDescriptionDefault
sound_typeNocompletion
custom_sound_pathNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description does not disclose behavioral traits such as whether audio playback is synchronous, permission requirements, or error handling. The output schema exists but is not described.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a clear introduction and bullet-point guidelines. The example adds context. It is slightly verbose but efficiently conveys necessary information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 parameters, no required ones), the description covers the purpose, usage scenarios, and parameter semantics adequately. It does not discuss return values, but that is acceptable for a straightforward action.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description adds meaning to the sound_type parameter by explaining when to use each value. The custom_sound_path parameter is implied but not detailed. This compensates partially for the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Play a notification sound on the user's device' and differentiates between sound types with specific use cases. It clearly distinguishes from sibling tools like install_to_user_dir and list_available_sounds.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides detailed WHEN TO USE guidelines for each sound type (completion, error, notification, custom) and an example. This gives clear context for when the tool should be invoked.

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. 3 tool updates
    • First observedinstall_to_user_dir
    • First observedlist_available_sounds
    • First observedplay_sound
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TDQS

A4.4/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a distinct purpose: installing, listing, and playing sounds, with no overlap in functionality.

Naming Consistency5/5

All tools use a consistent verb_noun pattern in snake_case, with clear and descriptive names.

Tool Count5/5

Three tools is a reasonable number for a sound tool, covering setup, exploration, and core usage.

Completeness4/5

The tool set covers basic lifecycle: install, list, play. Minor gap: no tool for direct volume control or custom sound management beyond defaults.

Maintenance

ActivityInactive
ResponsivenessNo issues

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