MCP Sonic Pi
M

MCP Sonic Pi

mcp-sonic-pi is a tool that connects MCP clients with Sonic Pi, allowing users to create music through English instructions.
2.5 points
5.9K

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 creation
Generate complex music works with simple English descriptions
Real-time music playback
Instructions are immediately converted into music and played, providing instant feedback
Seamless integration
Can be used with various MCP clients to expand creation possibilities
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 music
Generate soothing ambient music for meditation or work background
Produce game sound effects
Rapidly 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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.3K
5 points
A
Annas MCP
The MCP server and CLI tool of Anna's Archive are used to search for and download documents on the platform and support access through an API key.
Go
6.7K
4.5 points
V
Video Editing MCP
Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.
Python
13.0K
4 points
B
Bilibili MCP Js
Certified
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
TypeScript
15.9K
4.2 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
12.3K
4 points
M
MCP Youtube
Download YouTube subtitles via yt - dlp and connect to Claude.ai through the MCP protocol for video content analysis
TypeScript
10.2K
4 points
M
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
24.0K
5 points
S
Supermemory
Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.
TypeScript
21.0K
5 points
N
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
15.0K
4.5 points
G
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
17.1K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.7K
4.3 points
M
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
24.0K
5 points
U
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#
19.6K
5 points
F
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
45.8K
4.5 points
G
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
15.2K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase