Muzaic MCP Server

Muzaic MCP Server

Enables generating AI-powered soundtracks for videos via Muzaic AI from any MCP client.

Category
访问服务器

README

🎵 Muzaic MCP Server

PyPI version License: MIT Python 3.10+ MCP Compatible

Official MCP server for Muzaic AI — generate custom music for video content

<!-- mcp-name: io.github.muzaic-ai/muzaic-mcp -->


✨ What is this?

Muzaic MCP Server connects the Muzaic AI music generation API to any LLM or agent that speaks the Model Context Protocol (MCP). Generate AI-powered soundtracks for videos — directly from Claude, Cursor, VS Code, or any MCP client.

  • 🎶 Generate single tracks or multi-region soundtracks
  • 🏷️ Browse 30+ music tags (style, mood, genre, cultural)
  • 🎛️ Fine-tune with 5 parameters: intensity, tempo, rhythm, tone, variance
  • 📈 Dynamic keyframes for parameter changes over time
  • ✅ Tag compatibility validation
  • 💰 Check account balance and token usage

⚠️ Note: Muzaic tokens are needed to generate music. Get your API key from adminpanel.muzaic.ai.


📦 Quick Install

pip install muzaic-mcp

Or with uv:

uv pip install muzaic-mcp

🏃 Quick Start

export MUZAIC_API_KEY=your_api_key_here
muzaic-mcp

🔧 Configuration

Claude Desktop

Go to Claude → Settings → Developer → Edit Config and add:

{
  "mcpServers": {
    "Muzaic": {
      "command": "uvx",
      "args": ["muzaic-mcp"],
      "env": {
        "MUZAIC_API_KEY": "<your-api-key>"
      }
    }
  }
}

Cursor

Windows: Add to %USERPROFILE%\.cursor\mcp.json (e.g., C:\Users\YourName\.cursor\mcp.json)

macOS/Linux: Add to ~/.cursor/mcp.json

{
  "mcpServers": {
    "Muzaic": {
      "command": "uvx",
      "args": ["muzaic-mcp"],
      "env": {
        "MUZAIC_API_KEY": "<your-api-key>"
      }
    }
  }
}

Note: If uvx is not in your PATH, use the full path. On Windows with Python installed, you can find it with:

where.exe uvx
# Or if using uv:
where.exe uv
# Then use: "C:\\path\\to\\uv.exe" with args: ["tool", "run", "muzaic-mcp"]

Alternatively, if you have Python installed, you can use:

{
  "mcpServers": {
    "Muzaic": {
      "command": "python",
      "args": ["-m", "muzaic_mcp.server"],
      "env": {
        "MUZAIC_API_KEY": "<your-api-key>"
      }
    }
  }
}

Claude Code

claude mcp add-json "Muzaic" '{"command":"uvx","args":["muzaic-mcp"],"env":{"MUZAIC_API_KEY":"<your-api-key>"}}'

VS Code

Create .vscode/mcp.json in your workspace:

{
  "servers": {
    "Muzaic": {
      "command": "uvx",
      "args": ["muzaic-mcp"],
      "env": {
        "MUZAIC_API_KEY": "<your-api-key>"
      }
    }
  }
}

🛠️ Available Tools

Tool Description Cost
muzaic_get_tags List all available music tags with descriptions Free
muzaic_validate_tags Check tag combination compatibility Free
muzaic_account_info Check token balance and usage Free
muzaic_generate_music Generate a single AI music track 1 token/sec
muzaic_create_soundtrack Create multi-region soundtrack with different styles 1 token/sec
muzaic_regenerate Regenerate music from a previous hash 1 token/sec

💬 Example Prompts

Try these with Claude, Cursor, or any MCP client:

  • "What music styles can you generate with Muzaic?"
  • "Create a 60-second upbeat pop track for a product video"
  • "Generate a cinematic soundtrack that starts calm and builds to epic over 2 minutes"
  • "Make a 30-second chill ambient track for a meditation app intro"
  • "Create a soundtrack with 3 sections: calm intro, energetic middle, peaceful outro"

🎛️ Music Parameters

All parameters range from 1 (low) to 9 (high):

Parameter 1 9
intensity Calm, ambient High energy, powerful
tempo Very slow Very fast
rhythm Simple, steady Complex patterns
tone Dark, moody Bright, cheerful
variance Repetitive Diverse, changing

Dynamic Keyframes

All parameters except tempo support keyframes — values that change over the duration of the track. Positions are expressed as percentages (0–100%) of the track duration.

# 30-second track: intensity drops at 10s, then rises to max at the end
intensity: [[0, 5], [33, 1], [100, 9]]
          ↑ start at 5  ↑ drop to 1 at 33% (=10s)  ↑ rise to 9 at 100% (=30s)

Tempo only accepts a static value (1–9) — keyframes are not supported for tempo.


🐛 Troubleshooting

API key not set

Error: MUZAIC_API_KEY is not set

Make sure the MUZAIC_API_KEY environment variable is configured in your MCP client settings.

uvx not found

Windows:

# Find uvx location
where.exe uvx

# If not found, install uv first:
# pip install uv
# Or download from: https://github.com/astral-sh/uv/releases

# Then use full path in mcp.json:
# "command": "C:\\Users\\YourName\\AppData\\Local\\Programs\\uv\\uv.exe"
# "args": ["tool", "run", "muzaic-mcp"]

macOS/Linux:

# Find uvx location
which uvx

# If not found, install uv:
# curl -LsSf https://astral.sh/uv/install.sh | sh

# Then use full path in config:
# "command": "/usr/local/bin/uvx"

Alternative: Use Python directly if uvx is unavailable:

{
  "mcpServers": {
    "Muzaic": {
      "command": "python",
      "args": ["-m", "muzaic_mcp.server"],
      "env": {
        "MUZAIC_API_KEY": "<your-api-key>"
      }
    }
  }
}

Timeout on long tracks

Music generation can take up to 5 minutes for 20-minute tracks. This is normal. If using MCP Inspector in dev mode, you may see timeout errors even though the generation completes.


🧪 Development

# Clone
git clone https://github.com/MUZAIC-Organization/muzaic-mcp.git
cd muzaic-mcp

# Install with dev dependencies
uv sync
# Or with pip:
# pip install -e ".[dev]"

# Run in dev mode
# Windows PowerShell:
$env:MUZAIC_API_KEY="your_key"
# macOS/Linux:
export MUZAIC_API_KEY=your_key

uv run mcp dev muzaic_mcp/server.py
# Or with pip:
# python -m muzaic_mcp.server

# Run tests
uv run pytest
# Or with pip:
# pytest

Local Development Setup

If you're developing locally and want to test without publishing to PyPI:

Windows:

# Install in editable mode
pip install -e .

# Test the command
$env:MUZAIC_API_KEY="your_key"
muzaic-mcp

macOS/Linux:

# Install in editable mode
pip install -e .

# Test the command
export MUZAIC_API_KEY=your_key
muzaic-mcp

Testing with MCP Inspector

npx @modelcontextprotocol/inspector
# → Transport: stdio
# → Command: uv run muzaic-mcp
# Or: python -m muzaic_mcp.server

Windows Note: If you encounter issues with npx, ensure Node.js is installed and in your PATH. You can also use the full path to npx if needed.


📄 License

MIT — see LICENSE for details.


🔗 Links

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选