@modelcontextprotocol/server-sheet-music

Converts ABC notation (a text-based music notation format) into visual sheet music representations by parsing the ABC syntax into an intermediate representation and rendering it using a music notation library. The MCP server exposes this as a tool that accepts ABC strings and returns rendered sheet music in standard formats (SVG, PNG, or PDF), enabling LLM agents to generate and visualize musical scores programmatically without requiring manual notation software.

Synthesizes audio from ABC notation by parsing the notation into MIDI or audio events and routing them through a synthesizer engine (likely using Web Audio API or a Node.js audio library like Tone.js). The MCP server exposes playback controls as tools, allowing agents to generate audio output from ABC strings, enabling interactive music composition workflows where LLMs can hear their generated melodies.

Parses ABC notation strings and validates syntax against the ABC specification, returning detailed error messages with line numbers, character positions, and suggestions for correction. The validation runs synchronously within the MCP server and exposes errors as structured data, enabling agents to iteratively refine malformed notation or provide users with actionable feedback on why their ABC input failed to render.

Transforms ABC notation by applying operations like transposition (changing key), tempo adjustment, time signature modification, or note duration scaling. The transformation operates on the parsed ABC representation and regenerates valid ABC output, enabling agents to programmatically modify melodies without manual re-notation. Uses AST-like manipulation of ABC elements to preserve structure while altering specific parameters.

Registers all sheet music capabilities (rendering, playback, validation, transformation) as MCP tools with standardized JSON schemas, exposing them to compatible LLM clients through the Model Context Protocol. Each tool includes input schema (ABC notation, parameters), output schema (rendered format, error structure), and documentation, enabling LLMs to discover and invoke capabilities with proper type safety and parameter validation.