What deployment options are available?
The server can run as a local stdio process, a local HTTP server, or a remote Cloudflare Workers endpoint. The remote server is pre‑deployed at `https://midi-mcp-server.tubone24.workers.dev/mcp`.
@tubone24
基本情報
MIDI MCP Server is a Model Context Protocol (MCP) server that enables AI models to generate MIDI files from text-based music data. This tool allows for programmatic creation of musical compositions through a standardized interface.
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-mcp-server": {
"command": "node",
"args": [
"build/index.js",
"--http"
]
}
}
}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。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol (MCP) server for AI-driven MIDI composition. It generates MIDI files from structured JSON data, supports chord names, provides an interactive piano-roll preview UI, and offers multiple deployment modes (stdio, HTTP, Cloudflare Workers).
Deploy remotely via Cloudflare Workers (https://midi-mcp-server.tubone24.workers.dev/mcp) or run locally as a stdio or HTTP server. Use the create_midi tool to generate a MIDI file from a composition object, and parse_chord to resolve chord names into pitches. See the README for configuration examples for each transport.
create_midi and parse_chordThe server can run as a local stdio process, a local HTTP server, or a remote Cloudflare Workers endpoint. The remote server is pre‑deployed at `https://midi-mcp-server.tubone24.workers.dev/mcp`.
Two tools: `create_midi` (generates a MIDI file from composition data) and `parse_chord` (resolves a chord name into its component MIDI numbers and note names).
Node.js and npm. Key packages include `@modelcontextprotocol/sdk`, `midi-writer-js`, `zod`, and `soundfont-player`.
Pitches can be given as MIDI numbers (0–127), note name strings (e.g., `"C4"`), arrays of pitches, or chord names (e.g., `"Cmaj7"`). Accidentals `#` and `b` are supported.
The server supports stdio (default for local desktop clients), HTTP (local Streamable HTTP server), and Cloudflare Workers (remote, via HTTP). Authentication is not required.
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