Generate original AI music tracks via Claude Desktop — MCP server powered by ACE-Step 1.5, with vocal/instrumental stem splitting and reference-style matching. No music software or AI/ML knowledge nee
Generate original AI music through Claude, powered by ACE-Step 1.5
Quick Start • Features • Tools Reference • Architecture • Changelog • Contributing • Troubleshooting
Ask Claude for a song in plain English — "an upbeat pop track about road trips, with lyrics about freedom" — and get back a real, finished audio file. No music software, no AI/ML knowledge, and no account or subscription required. Everything runs on your own computer.
This is an MCP server — a small local program that gives Claude Desktop (Anthropic's Claude app) a new ability it doesn't have out of the box: generating actual music. "MCP" (Model Context Protocol) is just the standard way Claude apps plug in extra tools; you don't need to understand it to use this, only to install it once (see below).
Under the hood, this server drives ACE-Step 1.5 — a genuinely capable, open-source AI music generation model, entirely credited to its original authors; this project doesn't train or own any model, it just automates using one well. ACE-Step's own interface exposes around seventy interdependent generation settings, and getting a good result out of it depends on a number of non-obvious defaults and interactions between them. SongForge-MCP removes that layer entirely: you describe the track you want in conversation, and Claude calls this server to produce it, handling every underlying setting correctly on your behalf. You never touch a settings panel.
From the project README.
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