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--- |
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title: Scores |
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emoji: 🎼 |
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colorFrom: pink |
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colorTo: red |
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sdk: docker |
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sdk_version: 5.32.0 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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short_description: Analyze music scores from PDF files |
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app_port: 7860 |
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tags: [mcp-server-track, agents-mcp-hackathon] |
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--- |
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Demo video |
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-- |
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https://youtu.be/_6Gr_ldh5lk |
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Participants |
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-- |
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* jiba21 |
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* ElasticExplorer |
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Audiveris MCP Server |
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-- |
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In this space you can find the code which implements the Audiveris MCP Server which receives a |
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URL for a PDF music score and converts it to MusicXML format, which can be analyzed from LLL models. |
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If you want to use it from Cursor, as an example, you just need to add to Cursor MCP Tools the server: |
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{ |
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"mcpServers": { |
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"audiveris": { |
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"url": "https://agents-mcp-hackathon-audiveris.hf.space/gradio_api/mcp/sse" |
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} |
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} |
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} |
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``` |
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and the you can ask Cursor to use it with a prompt like: |
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Given a PDF music score URL use MCP tool audiveris to convert it to a MusicXML file. Download the resulting MusicXML file, unzip the file and load the XML contents to be analyzed and complete a basic analysis. Use as URL https://www.mutopiaproject.org/ftp/BeethovenLv/WoO59/fur_Elise_WoO59/fur_Elise_WoO59-let.pdf |
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and you will get a basic analysis of the music score |
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``` |
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Based on the MusicXML file analysis, I can provide you with a basic analysis of Beethoven's Für Elise: |
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Technical Details: |
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The piece was converted using Audiveris 5.6.1 |
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It's written for Piano (Acoustic Grand Piano) |
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The MIDI channel is set to 1 with a volume of 78 |
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Musical Structure: |
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Time Signature: 3/8 time |
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The piece begins with a pickup measure (anacrusis) |
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Initial dynamic marking: pp (pianissimo) |
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Opening Melody Analysis: |
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The piece begins with the famous E5-D♯5 motif |
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... |
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``` |
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