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MusicXML Comparer

by raulkiviversion 0.2.1i★ –iRuns on your computer
Registry nameio.github.raulkivi/comparer-mcp

Install

Overview

Description from the maker (original English)

Music-aware, multi-level comparison of two MusicXML files

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "comparer": {
      "command": "uvx",
      "args": [
        "comparer-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add comparer -- uvx comparer-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "comparer": {
      "command": "uvx",
      "args": [
        "comparer-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "comparer": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "comparer-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account raulkivi, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2784 servers in this category
  • Published to the registry more recently than 39% of the other 2784 servers in this category
  • Basic checks equal to or better than 100% of the other 2784 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MusicXML Comparer safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.1) reached the registry 43 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

comparer-mcp

MCP server for music-aware comparison of MusicXML files. Provides structured, multi-level diffs that report what changed between two scores — from global similarity down to individual notes.

What it does

  • Version / arrangement comparison — Compare different editions, arrangements, or simplifications of the same piece
  • OMR quality evaluation — Compare omr-mcp output against a known-good reference
  • Round-trip fidelity — Verify MusicXML → ABC → MusicXML through musicxml-abc-mcp
  • Regression testing — Detect regressions when OMR models or conversion logic change
  • Score editing validation — Confirm LLM-driven edits only changed intended elements

Installation

bash install.sh

See SETUP.md for client config snippets (Claude Desktop, Cursor, Windsurf, Continue, Zed) and TROUBLESHOOTING.md if something doesn't work.

MCP Tools

ToolDescription
compare_musicxmlFull diff of two scores, inline or by path → structured ComparisonResult JSON
compare_musicxml_filesFull diff of two MusicXML file paths (.musicxml, .xml, or .mxl) inside the allowed folders → structured ComparisonResult JSON
quick_similaritySimilarity score (0.0–1.0) + summary statistics only, no per-note detail
list_changesNote-level diffs (operation != MATCH), optionally filtered by part name and/or measure range
generate_comparison_reportHuman-readable version comparison report — similarity headline, missing/extra parts and measures, key/time signature changes, note-level differences grouped by measure range (e.g. "transposed by 3 semitones in measures 17-24")
export_annotated_musicxmlMusicXML with per-note color annotations marking the diff. Small results come back inline (reference_annotated_musicxml + target_annotated_musicxml); large ones are written to files and returned as *_path fields plus a score_summary (return: auto/path/inline). Pass the paths to render-mcp's render_to_pdf/render_to_image as musicxml_path
describe_scoreTitle, key, time, tempo, parts (IDs, names, clefs, ranges), measures and duration of a score, without returning the score
health_checkServer status — verifies music21 is importable and runs a self-comparison smoke test
list_capabilitiesServer metadata per project conventions

Each score can be passed inline (reference_xml, target_xml) or as a file path (reference_path, target_path; .musicxml, .xml or .mxl), exactly one of each pair. Paths save copying whole scores through the conversation. They must be inside the output folder (SHEET_MUSIC_OUTPUT_ROOT, default the working directory), one of the client's roots, or a folder listed in SHEET_MUSIC_INPUT_ROOTS.

// Compare two MusicXML strings

{ "tool": "compare_musicxml", "arguments": { "reference_xml": " ... ", "target_xml": " ... " } }

// Compare two files { "tool": "compare_musicxml_files", "arguments": { "reference_path": "/path/to/reference.musicxml", "target_path": "/path/to/omr_output.musicxml" } }

// Quick similarity check { "tool": "quick_similarity", "arguments": { "reference_xml": " ... ", "target_xml": " ... " } } // → {"similarity_score": 0.87, "summary": {...}}

// Filtered changes, e.g. "what changed in the Alto, measures 17-24?" { "tool": "list_changes", "arguments": { "reference_xml": " ... ", "target_xml": " ... ", "part": "Alto", "measures": [17, 24] } } // → {"changes": [{"measure_number": 18, "operation": "PITCH_CHANGE", "part_name": "Alto", ...}], "count": 1}

// Human-readable report { "tool": "generate_comparison_report", "arguments": { "reference_xml": " ... ", "target_xml": " ... " } } // → {"report": "Overall similarity: 87% (minor differences)\n...", "similarity_score": 0.87}

// Colored MusicXML diff export — chain straight into render-mcp to visualize { "tool": "export_annotated_musicxml", "arguments": { "reference_xml": " ... ", "target_xml": " ... " } } // → {"reference_annotated_musicxml": "...", "target_annotated_musicxml": "...", // "similarity_score": 0.87, "legend": {"PITCH_CHANGE": "#FF8800", ...}} // For scores over 8 KB (return: "auto", the default): // → {"reference_annotated_musicxml_path": ".../scores/annotated-reference_annotated_musicxml-....musicxml", // "target_annotated_musicxml_path": "...", "similarity_score": 0.87, "legend": {...}, // "score_summary": {"reference_annotated_musicxml": {...}, "target_annotated_musicxml": {...}}}

// Paths instead of inline text { "tool": "quick_similarity", "arguments": { "reference_path": "scores/reference.musicxml", "target_path": "scores/omr_output.mxl" } }

compare_musicxml, compare_musicxml_files, generate_comparison_report, and export_annotated_musicxml all accept an optional options object:

{

"expand_repeats": false, // unfold repeats before comparing (default: false — opt-in) "normalize_pitch": false, // transpose transposing instruments to concert/sounding pitch "ignore_articulations": false, // exclude articulations from NoteInfo/diffs "parts": ["Soprano"], // compare only these parts: IDs, names or voices ("P1", "S"); // part_filter is a deprecated alias "measures": [1, 32] // only differences in measures 1-32, inclusive (scores are not // cut); measure_range is a deprecated alias }

Using the engine directly

The comparison engine (src/comparer_mcp/engine.py) has no MCP dependency and is fully usable as a plain Python library, independent of the MCP server:

cd comparer-mcp

uv sync

from comparer_mcp.engine import compare, compare_files

Compare two MusicXML strings

result = compare(reference_xml, target_xml)

Compare two files (.musicxml, .xml, or compressed .mxl)

result = compare_files("reference.musicxml", "omr_output.mxl")

print(result.similarity_score) # float, 0.0-1.0 print(result.summary) # ComparisonSummary: parts/measures/notes matched, missing, changed print(result.part_diffs) # list[PartDiff] -> list[MeasureDiff] -> list[NoteDiff]

Errors are raised as comparer_mcp.engine.ProcessingError (e.g. for a missing file or invalid MusicXML), carrying a .error_code attribute (FILE_NOT_FOUND, INVALID_INPUT, etc.) matching the format the MCP tools return.

Testing

# Unit tests

VIRTUAL_ENV= .venv/bin/pytest tests/ -v -m "not integration"

Integration tests (real .mxl SATB fixtures shared with omr-mcp)

VIRTUAL_ENV= .venv/bin/pytest tests/ -v -m integration

Install dependencies

uv sync

Dependencies

  • music21 — MusicXML parsing, score object model, stream alignment
  • numpy — distance matrix for note alignment (transitive via music21)
  • mcp — MCP protocol

System requirements

  • Python 3.11+
  • No system libraries required

Phase status

PhaseStatus
Phase 1 — Core comparison (MVP)Complete — 45/45 tests passing (43 unit + 2 integration)
Phase 2 — Rich detail (key/time signature diffs, voice-aware alignment, articulations)Complete — 67/67 tests passing (65 unit + 2 integration)
Phase 3 — MCP server & integration (server.py, all 6 tools, install.sh, SETUP.md, client config examples)Complete — 94/94 tests passing (90 unit + 4 integration)
Phase 4 — Advanced features (options wiring, generate_comparison_report, export_annotated_musicxml)Complete — 134/134 tests passing (127 unit + 7 integration)
UX Wave 2 — Score references (reference_path/target_path, return for the annotated export, describe_score)Complete — 239 unit tests passing (+7 integration)
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