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mcp_opendaw_download_audio

Downloads an audio file from a URL to local disk, enabling later import into a DAW for music production.

Instructions

Download an audio file from a URL (e.g. Suno CDN) to local disk.

Bridges the gap between AI music generators (Suno, Udio) and the DAW: generate a track → get audio URL → download → import_audio_to_tracks. Without this, you need manual curl/wget outside the MCP pipeline.

Supports any HTTP(S) URL pointing to WAV/MP3/FLAC/OGG. Uses streaming download with timeout. Files saved to /tmp by default (or custom dir).

url: Direct URL to the audio file (e.g. Suno CDN audio_url from chirp_generate). filename: Output filename (default: derived from URL path). output_dir: Directory to save (default /tmp). Must exist.

Returns absolute file path, size, and suggested next step (import_audio_to_tracks).

Examples:

Download a Suno track

download_audio("https://cdn.suno.ai/abc123.wav")

Custom name

download_audio("https://cdn.suno.ai/abc123.mp3", filename="my_track.mp3")

Then import with stem splitting

import_audio_to_tracks("/tmp/my_track.mp3", mode="bs6")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
filenameNo
output_dirNo/tmp

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Discloses supported formats (WAV/MP3/FLAC/OGG), streaming download with timeout, default save location (/tmp), and return values (path, size, suggestion). No annotations provided, so description carries full burden. Lacks details on error handling or overwrite behavior, but core behavior is well covered.

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

Conciseness4/5

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

Well-structured with sections for purpose, pipeline context, supported formats, parameter details, return value, and examples. Front-loaded with core function. Some redundancy (e.g., examples repeated), but overall efficient.

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

Completeness4/5

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

Covers purpose, usage, parameters, return, and next steps. Assumes output schema exists for return value details (not shown). Missing explicit error handling or edge cases, but for a download tool, the description is sufficiently complete for agent decision-making.

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?

Schema has 0% description coverage; description fully compensates by explaining each parameter: url (direct URL from AI generator), filename (default derived from URL), output_dir (must exist, default /tmp). Examples demonstrate usage with custom filenames.

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?

Clear verb ('download'), resource ('audio file from URL'), and context (bridges AI generators and DAW). Distinguishes from siblings by explaining its position in the pipeline: generate track → get URL → download → import audio. Examples reinforce purpose.

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

Usage Guidelines5/5

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

Explicitly states when to use (after generating a track, before import_audio_to_tracks) and provides alternatives (manual curl/wget). Includes examples with specific use cases (Suno tracks) and next steps.

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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