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music-metadata-mcp

by stevebirring-star
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music-metadata-mcp

MCP server for the FreqBlog Music API.

Lets Claude, Cursor, Windsurf, and any MCP-compatible AI assistant look up audio features, build harmonic playlists, fetch lyrics, render waveforms, and export DJ-ready files. For reliable, full-catalog results, identify tracks by name (+ optional artist) or ISRC — a track name alone works, no Spotify account or ISRC needed. MusicBrainz IDs are also accepted. A raw Spotify track ID works too — resolved from our Spotify-ID map or, on a miss, by matching the track's title — but a title several artists share is ambiguous and misses rather than guessing, so it is not a universal Spotify-ID reverse lookup: prefer name or ISRC.

Tools (v2.16.4 — 23 total)

Core lookup

Tool

Description

lookup_track

BPM, key, mood, genre, danceability, energy and 30+ more — best by track name (+ optional artist) or ISRC, which search the full catalog and queue an on-demand fetch + analysis on a miss; also accepts a MusicBrainz ID, or a Spotify track ID (resolved from our ID map or by title match; ambiguous titles miss rather than guess — prefer name/ISRC). Covers 800k+ fully analysed tracks + 7.5M fallback via MusicBrainz/AcousticBrainz (GET /cache/stats returns the live count as tracks_analyzed). Features come from a track's commercial streaming preview audio, so a track with no streaming release we can reach (CD-only, unreleased, or off-streaming) returns a clear "not available" result rather than data — there's no audio to analyse

search_tracks

Full-text search across the catalog (FTS5-backed)

bulk_lookup

Look up up to 50 tracks (by name or ISRC) in one request

find_tracks_by_bpm

Find tracks within ±tolerance of a target BPM

find_tracks_by_key

Find tracks by key — Camelot (8A), Open Key (1m), or name (A-Minor)

Recommendations & DJ tools

Tool

Description

find_similar_tracks

Cosine-similarity recommendation engine over the entire catalog

get_recommendations

Spotify /v1/recommendations replacement — blend up to 5 seed tracks (or seed by track+artist name), genre-aware ranking. Tune with min/max (hard filters) and target (preference) over tempo, energy, valence, danceability, acousticness, instrumentalness, liveness, speechiness, loudness, popularity, duration_ms. Costs 2 units

get_related_artists

Spotify related-artists replacement — derived artist graph from audio-feature similarity. Costs 2 units

build_radio_playlist

Harmonic + BPM-continuity DJ playlist from a seed track

score_transition

Score how well one track mixes into another (0-100): harmonic + octave-aware BPM + energy. Costs 1 unit

suggest_next_track

Ranked next-track picks for a seed, each with transition score + reason. Costs 3 units

build_setlist

Order a 2-100 track crate into a beat-matched energy arc (peak_time/warmup/cooldown/flat). Costs 5 units

export_playlist

Generate Rekordbox XML / M3U / cuesheet from a list of track ids

country_chart

Live national music chart for 45 countries (Apple Music RSS)

harmonic_keys

Camelot wheel adjacency — pure logic, no quota

Browse

Tool

Description

find_artist_tracks

List every catalog track for an artist (paginated)

list_genres

Distinct genre tags with track counts

tracks_in_genre

List tracks tagged with a genre

Per-track extras

Tool

Description

tag_track

Compact, honestly-labelled tag list (energy/danceability/valence/acousticness/instrumentalness + mood + genre) — a tag-shaped projection of lookup_track, every tag carrying its own confidence + provenance. Costs 1 unit

track_embedding

18-dim numeric vector for ML / similarity / clustering

track_artwork_url

Resolved cover-art image URL (iTunes / Cover Art Archive)

track_lyrics

Synced + plain lyrics via the open LRClib dataset

track_waveform_svg

SVG waveform render of the track's 30-second preview

Related MCP server: studiosphere-pulse-mcp

Quick Start

Get a free API key at freqblog.com (1,000 req/month free).

Claude Desktop

Add to ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "music-metadata": {
      "command": "npx",
      "args": ["music-metadata-mcp", "--api-key=fb_live_YOUR_KEY_HERE"]
    }
  }
}

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

{
  "mcpServers": {
    "music-metadata": {
      "command": "npx",
      "args": ["music-metadata-mcp", "--api-key=fb_live_YOUR_KEY_HERE"]
    }
  }
}

Environment variable

export MUSIC_API_KEY=fb_live_YOUR_KEY_HERE
npx music-metadata-mcp

Example prompts

Once connected, you can ask your AI:

  • "What's the BPM and key of Blinding Lights by The Weeknd?"

  • "Find me 10 tracks in A-Minor around 128 BPM"

  • "What's the mood and genre of Come to Daddy by Aphex Twin?"

  • "Look up the audio features for these 5 tracks: ..."

  • "How well does this track mix into that one?" — score_transition gives a 0-100 transition score with a reason

  • "What should I play after this track?" — suggest_next_track ranks the best next picks for a seed

  • "Recommend tracks like these three" — get_recommendations blends up to 5 seed tracks (Spotify /recommendations replacement)

  • "Which artists are similar to Van Halen?" — get_related_artists derives an artist graph (Spotify related-artists replacement)

  • "Order these 12 tracks into a peak-time set and export it for Rekordbox" — build_setlist then export_playlist

  • "Tag this track and tell me how confident each tag is" — tag_track returns a compact tag list where every tag is labelled with its confidence + provenance (measured / derived / model-estimated / catalog-genre)

  • "Get the audio features for ISRC USUM71900001" — name or ISRC give the best coverage; a MusicBrainz recording ID also works, and a Spotify track ID resolves from our ID map or by matching its title, and misses when several artists share that title (if your own Spotify integration already gives you the ISRC, pass that instead — it's exact)

API key tiers

Plan

Price

Requests/month

Free

£0

1,000

Hobbyist

£9.99/mo

15,000

Starter

£39/mo

150,000

Professional

£129/mo

750,000

Get your key →

Links

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