MCP Sonic Pi
mcp-sonic-pi is a tool that connects MCP clients with Sonic Pi, allowing users to create music through English instructions.
rating : 2.5 points
downloads : 17
What is mcp-sonic-pi?
mcp-sonic-pi is a bridging service that allows you to control the Sonic Pi music creation software through natural language instructions. It converts requests from MCP protocol clients into music code executable by Sonic Pi.How to use mcp-sonic-pi?
Simply run an MCP client (such as Claude) and send music creation instructions. The service will automatically convert your description into Sonic Pi code and play it.Use cases
Suitable for music lovers, educators, creative workers for rapid prototyping, or anyone who wants to explore music creation with natural language.Main features
Natural language music creationGenerate complex music works with simple English descriptions
Real-time music playbackInstructions are immediately converted into music and played, providing instant feedback
Seamless integrationCan be used with various MCP clients to expand creation possibilities
Advantages and limitations
Advantages
Create music without programming knowledge
Quickly turn ideas into actual music
Leverage the powerful synthesis engine of Sonic Pi
Limitations
Sonic Pi needs to be pre - installed and running
The quality of music generation depends on the accuracy of the prompt
Currently only supports English instructions
How to use
Installation preparation
Ensure that Python 3.10+ and Sonic Pi are installed, and keep Sonic Pi running
Start the service
Run the MCP server in the terminal
Configure the client
Add server information to the MCP client configuration file
Usage examples
Create ambient musicGenerate soothing ambient music for meditation or work background
Produce game sound effectsRapidly prototype sound effects for independent game projects
Frequently Asked Questions
Why isn't my music playing?
What music styles are supported?
How to contribute code?
Related resources
Sonic Pi official website
The official website of Sonic Pi, containing tutorials and documentation
Demo video
A practical use demonstration of mcp-sonic-pi
GitHub repository
Project source code and issue tracking
Featured MCP Services

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
837
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
97
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
150
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
572
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
289
4.5 points