A
licenseB
qualityD
maintenanceEnables AI-powered music production in Ableton Live through natural language, with tools for composition, arrangement, mixing, and sound design.
52
MIT
bandlab-mcp
by BerkantACUN
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TDQS
A4.1/5.0
Scored across 8 tools
Disambiguation5/5
Each tool targets a distinct concern: identity, song listing, revision history, mix reading, mix editing, effect metadata, API capabilities, and raw fallback. The only potential overlap is raw_request, but it is explicitly framed as an escape hatch rather than a competing operation.
Naming Consistency4/5
Most tools follow a consistent bandlab_<verb>_<noun> pattern (list_songs, list_revisions, edit_mix, get_mix, list_effects). A few names deviate (whoami, capabilities, raw_request), but the shared prefix and clear verb/noun semantics keep the set predictable.
Tool Count5/5
Eight tools is a well-scoped size for a BandLab-focused MCP server. Each tool supports a recognizable workflow from authentication to revision exploration to mix editing, without redundancy or bloat.
Completeness4/5
The core workflow is covered: identify user, list songs, inspect revisions, read a mix, edit a mix, and look up effect parameters. The main gaps are broader BandLab operations like song creation/deletion or download, but the raw_request escape hatch mitigates those and the server appears intentionally scoped to mix editing.
Maintenance
ActivityMaintained
ResponsivenessNo issues