THIRI Chord Intelligence — Music Theory MCP Server
Server Details
Deterministic Music Theory for Claude, Cursor, and Autonomous AI Agents
Large Language Models (LLMs) frequently hallucinate music theory, leading to incorrect notes, false Roman numerals, and broken voice leading. THIRI solves this by providing a deterministic, mathematical music-theory engine (pitch-class-set theory over ℤ/12) directly to your AI.
It gives AI assistants precise, reproducible harmonic reasoning in milliseconds, allowing them to write correct musical scores, analyze progression
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 3.2/5 across 4 of 4 tools scored.
Each tool serves a distinct purpose: parsing a chord, generating a voicing, reharmonizing a progression, and resolving a chord to notes/scales. No functional overlap.
Three tools follow verb_noun (analyze_chord, generate_voicing, resolve_chord) while reharmonize is a bare verb. Minor inconsistency but still clear.
4 tools is ideal for a focused music theory server. Each tool covers a core operation without redundancy or missing essentials.
Covers analysis, voicing, reharmonization, and resolution. Could add scale/chord detection from audio, but for chord theory the surface is solid.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
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