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mcp_opendaw_remix_track

Automatically remix any audio file by analyzing BPM and key, importing stems, generating chord progression, adding harmony, mixing by genre, and mastering to target loudness.

Instructions

Full Suno remix pipeline in one call — analyze → import → harmony → mix → master.

Takes any audio file (from download_audio or local) and creates a complete remix: detect BPM + key → set project tempo → import stems → auto-generate matching chord progression → harmonic arrangement → genre mix → mastering. One call replaces 8-10 individual tool calls.

Steps performed:

  1. analyze_track (BPM + key + mode + LUFS)

  2. set_bpm to detected tempo

  3. import_audio_to_tracks (with stem separation if stem_mode set)

  4. create_progression_from_key (diatonic, style-appropriate)

  5. create_harmonic_arrangement (arp + melody on top of stems)

  6. apply_genre_mix (genre-specific processing)

  7. add_mastering_chain (LUFS target)

After this call, the project is remix-ready — call render_full to export.

filename: Path to audio file (from download_audio or local path). genre: Genre for mix processing (synthwave, house, techno, dnb, trap, etc). style: Progression style (pop, jazz, rock, synthwave, folk, lofi). stem_mode: Stem separation mode ("bs2", "bs4", "bs6") or "" for simple import. master_lufs: Mastering target (-14 Spotify, -10 loud, -16 Apple). add_harmony: If True, generates harmonic layers (arp + melody). Default True. add_counter_melody: If True, adds counter-melody layer. Default False. bars: Arrangement length in bars. Default 8.

Returns: analysis results, tracks created, harmony layers, effects, mastering.

Example:

Full pipeline: Suno → download → remix

chirp_generate → audio_url download_audio(audio_url) → /tmp/track.wav remix_track("/tmp/track.wav", genre="synthwave", style="synthwave", stem_mode="bs6", add_counter_melody=True) render_full() → export

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
barsNo
genreNosynthwave
styleNopop
filenameYes
stem_modeNobs4
add_harmonyNo
master_lufsNo
add_counter_melodyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full transparency burden. It details all 7 steps performed, parameter effects, and return value overview. It does not mention potential side effects on project state or external dependencies (e.g., Suno API), but the level of detail is high and no contradictions exist.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is efficiently structured with a one-line summary, a numbered step list, parameter explanations, and an example. Each sentence serves a purpose, no redundancy, and the important information is front-loaded. It is appropriately sized for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (8 parameters, pipeline nature), the description covers all necessary aspects: input requirements (audio file), optional parameters with defaults, step-by-step process, output summary, and a concrete usage example linking to sibling tools (download_audio, render_full). The output schema exists, so return values are adequately summarized.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, so the description fully compensates. Every parameter (filename, genre, style, stem_mode, master_lufs, add_harmony, add_counter_melody, bars) is explained with type, default, and functional role, adding semantic value beyond the schema's raw property names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool performs a 'Full Suno remix pipeline in one call' with a specific verb-resource pair, and distinguishes it from individual step tools by noting it 'replaces 8-10 individual tool calls.' The steps are enumerated, making the purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides an explicit usage scenario with a complete example (chirp_generate → download_audio → remix_track → render_full), and mentions post-call action ('call render_full to export'). However, it lacks explicit when-not-to-use guidance or direct alternatives among the many sibling tools, though the pipeline nature implicitly covers this.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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