xDarkzx/Reaper-MCP
by Various
AI-powered music production and post-production in REAPER via MCP — 172 tools for composition, mixing, mastering, batch editing, audio QC, and ReaScript automation.
MCP
xDarkzx/Reaper-MCP
Added 3 Sept 2026
Overview
Reaper-MCP is a Python-based MCP server that exposes REAPER's audio editing capabilities to AI assistants. It provides 172 tools for composition, mixing, mastering, batch editing, audio QC, and ReaScript automation, enabling programmatic control of REAPER sessions.
Best for
Best for
REAPER users who want AI-assisted or scriptable control over their audio sessions
Use cases
- Automate repetitive mixing or mastering tasks in REAPER
- Run batch audio edits across multiple tracks or regions
- Trigger ReaScript actions and custom automation from an AI assistant
How to use
Install
pip install xdarkzx-reaper-mcp Tested with
Claude Desktop, Claude Code, Cursor
Notes
Reaper-MCP is a Python-based MCP server that exposes REAPER’s audio editing capabilities to AI assistants. It provides 172 tools for composition, mixing, mastering, batch editing, audio QC, and ReaScript automation, enabling programmatic control of REAPER sessions.
58 stars on GitHub. Last updated 2026-08-31. Licensed Apache-2.0.
Use cases
- Automate repetitive mixing or mastering tasks in REAPER
- Run batch audio edits across multiple tracks or regions
- Trigger ReaScript actions and custom automation from an AI assistant
Pros
- Broad tool coverage for the full production workflow
- Direct integration with REAPER via the MCP protocol
- Open source with a permissive license
Cons
- Requires a running REAPER instance and MCP client setup
- Limited community traction with only 58 stars
- Documentation and examples may be sparse for complex workflows
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Broad tool coverage for the full production workflow
- Direct integration with REAPER via the MCP protocol
- Open source with a permissive license
Cons
- Requires a running REAPER instance and MCP client setup
- Limited community traction with only 58 stars
- Documentation and examples may be sparse for complex workflows
Pairs with
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