About MCP MiniMax Music Server
MCP MiniMax Music Server lets AI agents generate music and audio from text prompts through the MiniMax Music API. It is intended for MCP host users and supports a two-step generation and status-checking flow.
Key features
- 01Generate music and audio from prompts
- 02Use the MiniMax Music model
- 03Submit generation and check its status
- 04Accept reference audio URLs
- 05Configure API keys through environment variables
Use cases
- 01Generate a song from a text description
- 02Check whether a submitted generation is complete
MCP support
The MCP server exposes a generate_audio tool that submits audio generation requests and checks their status.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP MiniMax Music Server
A Model Context Protocol (MCP) server implementation for AI-powered audio generation using the MiniMax Music API. Developed by Falah.G.Salieh.
📋 Table of Contents
- Overview
- Features
- Prerequisites
- Installation
- Configuration
- Usage
- API Reference
- Troubleshooting
- Contributing
- License
- Author
🎯 Overview
This MCP server enables AI agents to generate music and audio content using the MiniMax Music API through the Model Context Protocol. It provides seamless integration with MCP hosts like Claude Desktop, allowing AI agents to create music and audio based on text prompts.
✨ Features
- AI-powered music generation
- Support for MiniMax Music model
- Two-step generation process with status checking
- Seamless integration with Claude Desktop
- Environment variable support for API keys
- Detailed error handling and reporting
🔧 Prerequisites
- Node.js (v16 or higher)
- TypeScript (v5.3.3 or higher)
- Claude Desktop (latest version)
- AIML API Key
- Windows/Linux/macOS operating system
📦 Installation
-
Clone the repository:
git clone https://github.com/yourusername/mcp-minimax-music-server.git cd mcp-minimax-music-server -
Install dependencies:
npm install -
Build the server:
npm run build
⚙️ Configuration
Claude Desktop Configuration
-
Locate your Claude Desktop configuration file:
- Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
-
Add the following configuration:
{ "mcpServers": { "minimax-music-server": { "command": "node", "args": [ "G:\\mcp-minimax-music-server\\build\\index.js" ], "env": { "AIML_API_KEY": "Bearer your-aiml-api-key-here" } } } }⚠️ Important:
- Replace the path with your actual server path
- Add "Bearer " prefix to your API key
- Use double backslashes in Windows paths
API Key Setup
Your AIML API key can be configured in two ways:
-
Environment Variables (Recommended)
- Set in Claude Desktop config as shown above
- Prefix with "Bearer " (include the space)
- Example:
"AIML_API_KEY": "Bearer 3d90d64a000c4e6eb02df7e52d2166d2"
-
Direct Configuration
- Pass the API key directly in the generation request
- Less secure, but useful for testing
🚀 Usage
Basic Usage
The server provides a tool called generate_audio with the following parameters:
prompt(required): Text prompt for audio generationmodel(optional): Set to "minimax-music"reference_audio_url(optional): URL of reference audiogeneration_id(optional): ID from previous generation for status checking
Example Commands
-
Start new generation:
Generate audio with prompt "Create a romantic love song with gentle acoustic guitar and soft vocals" -
Check generation status:
Generate audio with generation_id "abc123" and prompt "Check status"
Response Format
{
"toolResult": {
"status": "completed",
"id": "generation-id",
"audio_file": {
"url": "https://cdn.example.com/audio.mp3",
"content_type": "audio/mpeg",
"file_name": "output.mp3",
"file_size": 1024000
}
}
}
📚 API Reference
MiniMax Music Model
The server uses the MiniMax Music model which:
- Specializes in music generation
- Requires reference audio for style matching
- Supports lyric generation with ## delimiters
- Generates high-quality musical output
Generation Process
-
Step 1: Submit Generation
- Send prompt and parameters
- Receive generation ID
-
Step 2: Check Status
- Poll status using generation ID
- Download audio when complete
🔍 Troubleshooting
Common Issues
-
Authentication Errors (401)
- Verify API key format (should start with "Bearer ")
- Check API key validity
- Ensure correct configuration in
claude_desktop_config.json
-
Path Issues
- Use correct path format for your OS
- Windows: Use double backslashes
- Verify build directory exists
-
Generation Errors
- Check prompt format (should be wrapped in ##...## for lyrics)
- Ensure reference audio URL is accessible
- Verify prompt length and content
Debug Steps
-
Rebuild the server:
npm run build -
Restart Claude Desktop
-
Check server logs for errors
🤝 Contributing
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
📄 License
MIT License - see the LICENSE file for details
👤 Author
Falah.G.Salieh
- Location: Baghdad, Iraq
- Role: Developer & AI Integration Specialist
- Year: 2025
🌟 Support
Need help? Here's how to get support:
- Check the troubleshooting section
- Open an issue in the repository
- Contact the author directly
This project is part of the Model Context Protocol ecosystem, enabling seamless integration between AI agents and external services.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.