loading…
Search for a command to run...
loading…
A multi-interface music analysis server providing MCP, HTTP, CLI, and Python interfaces for music21-based analysis.
A multi-interface music analysis server providing MCP, HTTP, CLI, and Python interfaces for music21-based analysis.
CI/CD Pipeline CI Coverage Python 3.10+ License: MIT Ruff MCP
Professional music analysis with 4 different interfaces - MCP server, HTTP API, CLI tools, and Python library. Built on the powerful music21 library with protocol-independent architecture for maximum reliability.
Based on 2025 research showing MCP has 40-50% production success rate, this project provides multiple pathways to the same powerful music21 analysis functionality:
# Install the package
pip install music21-mcp-server
# Start the server
music21-mcp # MCP server for Claude Desktop
music21-http # REST API at localhost:8000
music21-cli # Interactive CLI
music21-analysis mcp # Unified launcher (positional arg)
# Clone repository
git clone https://github.com/brightlikethelight/music21-mcp-server.git
cd music21-mcp-server
# Install with UV (recommended)
curl -LsSf https://astral.sh/uv/install.sh | sh
uv sync
# Or with pip
pip install .
# Configure music21 corpus
python -m music21.configure
python -m music21_mcp.launcher
# Start MCP server
python -m music21_mcp.launcher mcp
# Configure Claude Desktop with:
# ~/.config/claude-desktop/config.json
{
"mcpServers": {
"music21-analysis": {
"command": "python",
"args": ["-m", "music21_mcp.server_minimal"],
"env": {
"PYTHONPATH": "/path/to/music21-mcp-server/src"
}
}
}
}
# Start HTTP API server
python -m music21_mcp.launcher http
# Opens: http://localhost:8000
# API docs: http://localhost:8000/docs
# Example usage:
curl -X POST "http://localhost:8000/scores/import" \
-H "Content-Type: application/json" \
-d '{"score_id": "chorale", "source": "bach/bwv66.6", "source_type": "corpus"}'
curl -X POST "http://localhost:8000/analysis/key" \
-H "Content-Type: application/json" \
-d '{"score_id": "chorale"}'
# Show CLI status
python -m music21_mcp.launcher cli status
# Import and analyze a Bach chorale
python -m music21_mcp.launcher cli import chorale bach/bwv66.6 corpus
python -m music21_mcp.launcher cli key-analysis chorale
python -m music21_mcp.launcher cli harmony chorale roman
# List all tools
python -m music21_mcp.launcher cli tools
from music21_mcp import create_sync_analyzer
# Create analyzer
analyzer = create_sync_analyzer()
# Import and analyze
analyzer.import_score("chorale", "bach/bwv66.6", "corpus")
key_result = analyzer.analyze_key("chorale")
harmony_result = analyzer.analyze_harmony("chorale", "roman")
print(f"Key: {key_result}")
print(f"Harmony: {harmony_result}")
# Quick comprehensive analysis
analysis = analyzer.quick_analysis("chorale")
# Run all tests
python -m pytest tests/ -v
# Run with coverage threshold
python -m pytest tests/ --cov=src/music21_mcp --cov-fail-under=82
# Install development dependencies
uv sync --dev
# Set up pre-commit hooks
pre-commit install
# Run linting
ruff check src/
ruff format src/
# Type checking
mypy src/
Core Value Layer:
├── services.py # Music21 analysis service (protocol-independent)
└── tools/ # 13 music analysis tools
Protocol Adapter Layer:
├── adapters/mcp_adapter.py # MCP protocol isolation
├── adapters/http_adapter.py # HTTP/REST API
├── adapters/cli_adapter.py # Command-line interface
└── adapters/python_adapter.py # Direct Python access
Unified Entry Point:
└── launcher.py # Single entry point for all interfaces
| Interface | Success Rate | Best For |
|---|---|---|
| MCP | 40-50% | AI assistant integration |
| HTTP | 95%+ | Web applications |
| CLI | 99%+ | Automation & scripting |
| Python | 99%+ | Direct programming |
# Server host and port (used by HTTP adapter and launcher)
export MUSIC21_MCP_HOST=127.0.0.1
export MUSIC21_MCP_PORT=8000
# Operation timeouts (seconds)
export MUSIC21_MCP_TIMEOUT=30 # General async operation timeout
export MUSIC21_TOOL_TIMEOUT=30 # Per-tool execution timeout
export MUSIC21_CHORD_ANALYSIS_TIMEOUT=60 # Chord analysis timeout
export MUSIC21_BATCH_TIMEOUT=30 # Batch processing timeout
# CORS origins for HTTP adapter (comma-separated)
export MUSIC21_CORS_ORIGINS="http://localhost:*"
# Configure corpus path (one-time setup)
python -m music21.configure
# CLI approach
python -m music21_mcp.launcher cli import chorale bach/bwv66.6 corpus
python -m music21_mcp.launcher cli key-analysis chorale
# Python approach
analyzer = create_sync_analyzer()
analyzer.import_score("chorale", "bach/bwv66.6", "corpus")
print(analyzer.analyze_key("chorale"))
# For Claude Desktop
python -m music21_mcp.launcher mcp
# For web development
python -m music21_mcp.launcher http
# For command-line work
python -m music21_mcp.launcher cli status
The previous enterprise version has been simplified for reliability:
Get real-time notifications for CI/CD pipeline status, pull requests, and releases:
We welcome contributions! Please see our Contributing Guide for details on:
Quick start:
git checkout -b feature/amazing-featurepytest tests/ --cov=src/music21_mcp --cov-fail-under=82git commit -m 'feat: Add amazing feature'git push origin feature/amazing-featureMIT License - see LICENSE file for details.
Choose the interface that works for you. All provide the same powerful music21 analysis capabilities! 🎵
Выполни в терминале:
claude mcp add music21-mcp-server -- npx Transcripts, channel stats, search
автор: YouTubeAI image generation using various models.
автор: modelcontextprotocolUnified GPU inference API with 30 AI services (LLM, image gen, video, TTS, whisper, embeddings, reranking, OCR) as MCP tools. Pay-per-use via x402 USDC or API k
автор: gpu-bridgeA powerful image generation tool using Google's Imagen 3.0 API through MCP. Generate high-quality images from text prompts with advanced photography, artistic,
автор: hamflxНе уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории media