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Related Servers

Alternatives to The Mechanical Ear

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Turns a composer's own MIDI catalogue into a learned style profile, phrase index and critics, then composes from those phrases inside Ableton Live through Producer Pal. It hears the open Set, writes only to sanctioned SIDEKICK tracks, and closes the loop by scoring which suggestions survive the session.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to search and fetch reviewed AI-created songs from a curated catalogue, returning bilingual editorial descriptions, genres, tags, human performer candidates and YouTube video IDs. Read-only and key-free, with tools for keyword/language/tag/date filtering, single-song lookup, and tag listing.
      453 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A composition-focused server built on music21 for generative music workflows, enabling melody generation, musical transformations, chord reharmonization, counterpoint creation, and MIDI export through constraint-based algorithmic composition tools.
      1
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Watches video footage or URLs to analyze mood, pace, speech, and scene cuts, then returns a shortlist of license-safe BGM tracks with license and attribution text, a 12–20s hook window, and an ffmpeg ducking/mix spec. Runs locally via stdio or HTTP without API keys, with optional catalogs and brand kits for agents and video editors.
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    TDQS

    A3.8/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools target distinct facets: catalog listing (list_tracks), track manifest (get_track), analysis-only (get_analysis), section listing (get_sections vs list_sections), windowed segments (get_aligned_segments), and keyword search (search_reviews). The main overlap is that get_track is a superset of get_analysis and get_aligned_segments, and get_sections vs list_sections could be momentarily confused, but descriptions explicitly clarify granularity ('Get only the analysis data'). calibrate_cognition vs get_dequantization_skill is well differentiated by explicit cross-references.

    Naming Consistency4/5

    All tools use snake_case with a verb_object pattern (get_*, list_*, search_reviews, calibrate_cognition). Minor deviation: 'calibrate_cognition' and 'get_dequantization_skill' use domain jargon as their objects, so the name alone doesn't telegraph function without the description. Still a predictable and readable convention throughout.

    Tool Count5/5

    Ten tools sit squarely in the well-scoped range, and each serves a recognizable purpose (catalog browsing, per-track retrieval, critique analysis, search, blind listening, skill docs). No redundant or filler tools are apparent.

    Completeness4/5

    The read-only catalog workflow is well covered: list tracks, list sections, fetch manifest/analysis/sections/segments, search reviews. Minor gaps: no lookup by title or critic filter (only keyword search over segments), no direct comparison or pagination/limit parameters on the list tools, and skill discovery depends on the description enumerating valid skill names.

    Maintenance

    ActivityActive
    ResponsivenessNo recent community issues