AI Music
moseca
Separate vocals and instruments in the browser with Demucs.
★ 397 starsMIT
View guide →// ai-music · bonfire-systems/reaper-mcp
reaper-mcp
reaper-mcp is an open-source ai music project by bonfire-systems (bonfire-systems/reaper-mcp on GitHub). It has 147 GitHub stars and 32 forks, is released under the MIT license, and was last updated on GitHub on 3 October 2026.
Let AI agents mix and master tracks inside REAPER.
💎 Hidden gem★ 147 stars⑂ 32 forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- bonfire-systems/reaper-mcp
- GitHub stars
- 147
- Forks
- 32
- License
- MIT
- Last updated on GitHub
- 3 October 2026
- Category
- AI Music
- Listing
- Hidden gem — a shorter page for a lesser-known project
- Official site
- GitHub
// how it works
How it works
- Clarify your goal
Decide what you want the project to do before installing anything.
- Clone the repo
Grab the source and skim the README for setup requirements.
- Install and configure
Install dependencies and add any API keys or settings it needs.
- Run your first task
Launch it and follow the example workflow from the docs.
// features
Why people love it
Research implementations
Faithful ports of published models.
Open source
Tweak models and pipelines freely.
Source separation
Splits songs into vocals, drums, bass, and more.
Text-to-music
Describe a track and get audio back.
Local inference
Generate music without cloud APIs.
High-quality output
Studio-grade sample rates and formats.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/bonfire-systems/reaper-mcp.git cd reaper-mcp - Step 2 — Install dependencies
Create a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate pip install -r requirements.txt - Step 3 — Run it
Start the app or CLI and follow the README examples.
python main.py --help
// use cases
What you can build
- Split a track into stems for remixing.
- Make karaoke versions of your favorite songs.
- Generate background music from a text prompt.
- Benchmark voice models before trusting them.
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// faq
Questions, answered
Who maintains reaper-mcp?
It is an open-source project at bonfire-systems/reaper-mcp with 32 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Is reaper-mcp free to use?
Yes. It is MIT licensed, so you can use it commercially with attribution.
What quality is the output?
Typically 44.1–48kHz stereo — good enough for demos and remixes.
Do I need a GPU?
Separation and generation run much faster on GPU, but CPU works for short tracks.
Can I use the results commercially?
Check the model's license — the code license and model weights may differ.
// keep exploring
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View guide →// alternatives
Alternatives in AI Music
The most-starred other AI Music projects in the LibreAI catalogue — the realistic shortlist if reaper-mcp is not the right fit.
- YuE★ 10.8k
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
- ace-step-ui★ 5.0k
🎵 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★ 5.0k
ACE-Step — 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
- DiffSinger★ 4.9k
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
- Stable Audio Tools★ 3.9k
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
// more in ai-music
More in AI Music
Nearby AI Music projects in the catalogue, closest in stars to reaper-mcp — keep exploring the shelf either side of it.
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Get reaper-mcp
Free and open — grab the source, star the repo, and start creating.