Cursor Sound MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Cursor Sound MCPplay a chime when code generation completes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cursor Sound MCP
A Model Context Protocol (MCP) implementation that plays sound effects after Cursor AI completes code generation. This MCP integrates with Cursor to provide audio feedback for a more interactive coding experience.
Features
Plays a sound effect when Cursor completes code generation
Uses the Model Context Protocol (MCP) for standardized integration
Configurable sound effects
Related MCP server: MCP Sound Tool
Installation
Install dependencies:
npm installAdd your sound effects: Place your sound files in the
soundsdirectory. The default expected sound is:
sounds/completion.mp3- Played after code generation
You can find free sound effects on freesound.org.
Build the project:
npm run buildUsage
Run the MCP server:
npm startThe server will start and listen for events from Cursor through the stdio transport.
Configuration
The sound effects and volume can be customized by:
Replacing the sound files in the
soundsdirectoryModifying the sound file paths in
src/index.ts
Development
For development with auto-recompilation:
npm run devAvailable Tools
1 toolplayCompletionSoundD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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?
Tool has no description.
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- Changed
playCompletionSound1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
1 tool update
- First observed
playCompletionSound
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or confusion between tools. The single tool 'playCompletionSound' has a clear, distinct purpose that cannot be mistaken for any other tool.
With only one tool, naming consistency is inherently perfect. The tool name 'playCompletionSound' follows a clear verb_noun pattern, and there are no other tools to create inconsistency.
A single tool is generally too few for most server purposes, as it provides minimal functionality and limits agent capabilities. For a sound-related server, one tool feels thin and under-scoped, lacking operations like stop, pause, or volume control.
The tool surface is severely incomplete for a sound server. With only a 'playCompletionSound' tool, there are obvious gaps such as stopping sounds, adjusting volume, listing available sounds, or playing different types of sounds, making it inadequate for typical sound management tasks.
Maintenance
Related MCP Connectors
Free CC0 sound effects for agents: ask by role (button-click, coin), sets, or search 4,600+.
Generate AI images, video, speech, music and presentations from Claude, ChatGPT and Cursor.
Generate AI images, videos, music, SFX & speech in any AI assistant. Results appear inline in chat.
Shared memory for AI coding agents. Save once, reuse from Cursor, Claude Code, Codex.
Related MCP Servers
- FlicenseBqualityDmaintenancePlays sound effects when Cursor AI completes code generation, providing audio feedback for a more interactive coding experience.12-
- 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.212 npm6MIT