BluesPrince/thiri-mcp
by Various
Deterministic music-theory MCP server & API — chord analysis, Roman-numeral analysis, voicing & reharmonization for Claude & Cursor. Computed, not hallucinated. Hosted at mcp.thiri
MCP
BluesPrince/thiri-mcp
Added 26 June 2026
Overview
A deterministic music-theory MCP server and API that provides chord analysis, Roman-numeral analysis, voicing, and reharmonization for use with Claude and Cursor. It computes results from music theory rules rather than relying on generative AI, ensuring consistent and hallucination-free outputs. Hosted at mcp.thiri.ai and installable via npx.
Best for
Best for
Developers and musicians who need reliable, rule-based music theory analysis inside AI coding environments
Use cases
- Analyze chord progressions with Roman-numeral notation in a code editor
- Generate voicings and reharmonizations for composition or arrangement
- Integrate deterministic music theory into AI-assisted music production workflows
Notes
A deterministic music-theory MCP server and API that provides chord analysis, Roman-numeral analysis, voicing, and reharmonization for use with Claude and Cursor. It computes results from music theory rules rather than relying on generative AI, ensuring consistent and hallucination-free outputs. Hosted at mcp.thiri.ai and installable via npx.
1 stars on GitHub. Last updated 2026-06-20. Licensed MIT.
Use cases
- Analyze chord progressions with Roman-numeral notation in a code editor
- Generate voicings and reharmonizations for composition or arrangement
- Integrate deterministic music theory into AI-assisted music production workflows
Pros
- Deterministic results eliminate hallucination risks common in generative models
- Works directly with popular AI coding tools like Claude and Cursor
- Simple installation via npx for quick setup
Cons
- Limited to music theory operations, not a general-purpose tool
- Small community with only 1 star on GitHub, indicating early-stage adoption
- Requires an external MCP host (Claude/Cursor) to function
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Deterministic results eliminate hallucination risks common in generative models
- Works directly with popular AI coding tools like Claude and Cursor
- Simple installation via npx for quick setup
Cons
- Limited to music theory operations, not a general-purpose tool
- Small community with only 1 star on GitHub, indicating early-stage adoption
- Requires an external MCP host (Claude/Cursor) to function
Pairs with
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