What are the runtime requirements?
Python 3.7+ and the packages `rtmidi`, `fastmcp`, `python-dotenv`, and `asyncio` are required.
@sandst1
基本情報
A MCP Server for sending MIDI sequences to any program that supports MIDI input
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"midi": {
"url": "http://localhost:8123/sse"
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
MCP MIDI Server is a FastMCP server that enables an LLM to send MIDI sequences into any software that supports MIDI input. It creates a virtual MIDI output port named "MCP MIDI Out" that appears as a selectable MIDI input device in digital audio workstations, hardware synthesizer interfaces, and other MIDI-compatible applications.
Clone the repository, create a Python virtual environment (Python 3.7+), install dependencies from requirements.txt, and create a .env file with a PORT setting (default 8123). Run python mcp_midi_server.py to start the server. In your MIDI application, select "MCP MIDI Out" as a MIDI input device. To connect from an MCP client like Cursor, add a configuration entry with "url": "http://localhost:<PORT>/sse".
Python 3.7+ and the packages `rtmidi`, `fastmcp`, `python-dotenv`, and `asyncio` are required.
The server uses Server-Sent Events (SSE). In Cursor, add an MCP server entry with `"url": "http://localhost:8123/sse"` (adjust the port if changed in `.env`).
It supports MIDI Note On, Note Off, Control Change, and sequences of timed Note On/Off events.
Any application that accepts MIDI input—such as Ableton Live, Logic Pro, FL Studio, virtual instruments, or lighting controllers—can select the “MCP MIDI Out” virtual port.
The README does not mention specific limits, but MIDI parameters (note, velocity, controller, channel) are constrained to standard 0‑127 ranges, and sequencing uses time in seconds.
MCP Toolbox for Databases is an open source MCP server for databases.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Open-source MCP to use Blender with any LLM

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.
Hindsight: Agent Memory That Learns
コメント