Sheet Music OMR runs on your own machine — the client starts it, so there is no endpoint to ping. 201 installs a week from pypi. Last commit 12 Oct 2026.
Converts photos or scans of printed sheet music to MusicXML with optical music recognition
We read the source, 4 d ago · rules ccca72095570
A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.
result = subprocess.run(
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
subprocess.run(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add omr-mcp -- uvx omr-mcp
{
"mcpServers": {
"omr-mcp": {
"args": [
"omr-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.omr-mcp]
command = "uvx"
args = ["omr-mcp"]
{
"mcpServers": {
"omr-mcp": {
"args": [
"omr-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"omr-mcp": {
"args": [
"omr-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
OMR_AUDIVERIS_HOME (Directory Audiveris is downloaded to on first use (default ~/.cache/omr-mcp/audiveris)).
The author declared them in the registry entry; get the values from the project itself.
Sheet music (PDF, photo, scan) to MusicXML: recognise, describe, extract parts, transpose, MIDI.
Convert photos to LEGO-style brick mosaic previews with AI-powered color quantization.
Converts between MusicXML and ABC notation, so LLMs can read and edit scores
Convert PDF bank statements into transactions that arrive with a pass/fail reconciliation verdict.
AI-powered calorie tracking with photo recognition, barcode scanning, and voice logging
Add products to Bring! from a photo — MCP for AI recognition, catalog matching, and verified writes.
Local MCP server for semantic Apple TV control with optional screenshots.
Three translation options per phrase, casual to formal, with register context and audio.
Answers built from our own checks of this server.