OpenUtau-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., "@OpenUtau-MCPcreate a new .ustx project with a tenor voice and add a vibrato curve"
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.
OpenUtau-MCP ๐ค๐ค
Standalone Model Context Protocol (MCP) Server for OpenUtau & DiffSinger
Enables AI Agents (Claude Desktop, Cursor, Antigravity, VS Code) to directly generate, inspect, and micro-tune OpenUtau v0.6+ (.ustx) project files and DiffSinger neural expressions.
๐ Features
๐ ๏ธ Native
.ustxProject Generator: Builds multi-track YAML project files with Singer IDs and Phoneticizer bindings.๐๏ธ DiffSinger & Neural Expression Curves: Generates Dynamics (
dyn), Tension (tns), Breathiness (bre), and Vibrato curves.๐ Project Inspector: Parses existing
.ustxfiles, extracting track structures, notes, and metadata.๐ถ Acoustic Preview Synthesizer: Instant 24-bit PCM preview audio synthesis with 25ms cosine-squared crossfading.
โก Zero-Dependency Core: Lightweight Python stdio JSON-RPC 2.0 server.
Related MCP server: utauMCP
๐ Quick Setup
1. Install Dependencies
pip install -r requirements.txt2. Verify Server
python test_mcp.py3. Add to your AI Agent Config (mcpSettings.json)
{
"mcpServers": {
"openutau-mcp": {
"command": "python",
"args": ["F:/antigravity lol/github้กน็ฎ/OpenUtau-MCP/server.py"]
}
}
}๐ License
MIT License (c) 2026 turboegg1145
This server cannot be deployed
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