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MCP Tools

reklawdbox provides 53 tools for reading your library, enriching metadata, analyzing audio, building sets, discovering pools, and exporting changes. You don’t need to know these to use reklawdbox — the agent picks the right tools automatically. This reference is here if you’re curious or want to understand what’s happening.

Tool pipeline

Section titled “Tool pipeline”

A typical workflow flows left to right through these tool groups:

Library & Data ──> Enrichment & Analysis ──> Classification & Staging ──> Export
       |                                              |
       └──────── Mixing & Sequencing ─────────────────┘
                         |
               Files & System (direct file ops, audit, cache management)

Tool groups

Section titled “Tool groups”

Library & Data

Search tracks, read playlists, resolve cached enrichment and analysis data. 11 tools

Enrichment & Analysis

Look up metadata on Discogs, Beatport, MusicBrainz, and Bandcamp. Analyze tempo, key, rhythm, structure, dynamics, and timbre. 8 tools

Classification & Staging

Genre classification, auditing, metadata backfill, staging, and XML export. 13 tools

Mixing & Sequencing

Score transitions, build set sequences, and discover compatible track pools. 10 tools

Files & System

Read/write native file tags, manage cover art, audit collections, and clear caches. 11 tools

Shared search filters

Section titled “Shared search filters”

Many tools share a common set of search filter parameters. Used by search_tracks, get_play_stats, enrich_tracks, analyze_audio_batch, resolve_tracks_data, cache_coverage, classify_tracks, audit_genres, scan_playlist_coverage, expand_pool, and discover_pools.

Parameter Type Description
query string Free-text search matching title or artist
artist string Filter by artist (partial match)
genre string Filter by genre (partial match)
rating_min integer Minimum star rating (1-5)
bpm_min number Minimum BPM
bpm_max number Maximum BPM
key string Filter by musical key (e.g., "Am", "Cm")
has_genre boolean Filter by whether track has a genre set
has_label boolean Filter by whether track has a label set
year_zero boolean Filter to tracks with year = 0 (unset)
label string Filter by label (partial match)
path string Filter by file path/folder (substring match)
path_prefix string Filter to tracks whose file path starts with this prefix
added_after string ISO date — only tracks added on or after
added_before string ISO date — only tracks added on or before
has_unknown_genre boolean Filter to tracks with a non-canonical genre (not in taxonomy and no known alias). Tracks with empty genre are excluded. Only true is meaningful