midi-mcp-server
MCP server for AI-generated MIDI โ text in, compositions out.
A curated MIDI dataset built for training precise music AI models.
Tegridy-MIDI-Dataset is an open-source ai music project by asigalov61 (asigalov61/Tegridy-MIDI-Dataset on GitHub). It has 296 GitHub stars and 21 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 21 September 2026.
Check the README for what the dataset contains and its structure.
Grab the MIDI files or clone the full repository.
Use the included converters and parsers to format MIDI for training.
Feed the prepared data into your music AI training pipeline.
A dataset assembled specifically for music AI work.
Multi-track MIDIs for richer model training.
Tools to convert MIDI formats for your pipeline.
Parse and inspect MIDI files in Python.
Includes karaoke-style MIDI content.
Designed for composition and generation models.
Download the dataset and its tools.
git clone https://github.com/asigalov61/Tegridy-MIDI-Dataset.git
cd Tegridy-MIDI-DatasetSet up the environment for the MIDI utilities.
pip install -r requirements.txtList the MIDI files and try the parser tools.
ls | head -20A curated MIDI dataset for creating precise music AI models, maintained at asigalov61/Tegridy-MIDI-Dataset.
Yes. It is Apache-2.0 licensed.
MIDI files, including multi-track and karaoke-style content, plus conversion tools.
No. It is data plus Python utilities; training models is the compute-heavy part.
Researchers and builders training music composition or generation models.
MCP server for AI-generated MIDI โ text in, compositions out.
Agent skill that turns text descriptions into real MIDI compositions.
Research code for instruction-based text-to-music editing of music models.
Local AI music studio: ACE-Step plus YuE2, stems, MIDI, and a built-in DAW.
Compose multi-track MIDI with Gemini and DeepSeek.
An audio quality metric and loss for training cleaner models.
The most-starred other AI Music projects in the LibreAI catalogue โ the realistic shortlist if Tegridy-MIDI-Dataset is not the right fit.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
๐ต The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
ACE-Step โ the open foundation model for music generation: full songs with vocals and lyrics in 19 languages, up to 4 minutes in about 20 seconds, Apache-2.0
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
Use API to call the music generation AI of suno.ai, and easily integrate it into agents like GPTs.
Free and open โ grab the source, star the repo, and start creating.