<strong>AI-powered audio editing in Audacity through the Model Context Protocol</strong>
If you already use Audacity MCP, the audacity mcp mcp server is the piece that lets your assistant work with it directly. AI-powered audio editing in Audacity through the Model Context Protocol.
The server ships on PyPI as audacity-mcp-server, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Category — ToolsEffects — 30Editing — 13Project — 12Track — 15Selection — 12Transport — 7Analysis — 6Generation — 5Labels — 6This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Audacity MCP's toolset — Category, Effects, Editing and 7 more — is a fair guide to whether it matches your workflow. It is maintained by xdarkzx; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Audacity MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Category | Tools |
| Effects | 30 |
| Editing | 13 |
| Project | 12 |
| Track | 15 |
| Selection | 12 |
| Transport | 7 |
| Analysis | 6 |
| Generation | 5 |
| Labels | 6 |
{
"mcpServers": {
"audacity": {
"command": "audacity-mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
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