Skip to main content
Glama

mcp_opendaw_download_audio

Download an audio file from any HTTP(S) URL to local disk for direct import into openDAW. Streams WAV, MP3, FLAC, OGG, saves to /tmp or custom folder, and suggests next step.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It adds meaningful behavioral details: '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),' and 'output_dir... Must exist.' It also reveals the return shape ('absolute file path, size, and suggested next step'). It doesn't cover overwrite behavior or authentication edge cases, but for a download tool it is fairly transparent.

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?

The description is longer than minimal but well-structured: a purpose sentence, a workflow context paragraph, support/behavior notes, a bulleted parameter list, return value statement, and two examples. Every sentence adds information, but it could be tightened slightly. The structure makes it easy to scan, so it earns a 4 rather than a 3.

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?

For a tool with 3 parameters, no annotations, and a present output schema, the description covers purpose, parameters, behavior, return value, and examples. It omits failure modes (e.g., overwrite policy, invalid URL handling) and network-specific concerns (rate limits, authentication), leaving some room for completeness. However, the output schema presumably defines return details, so this is a fully adequate description for its complexity.

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 description coverage is 0%, so the description must compensate fully. It does: each parameter is given meaning beyond the schema—'url: Direct URL... (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.' This adds real semantic value over the bare schema titles.

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 begins with a specific verb+resource+destination: 'Download an audio file from a URL (e.g. Suno CDN) to local disk.' It clearly distinguishes from siblings by framing its role in a workflow: 'Bridges the gap between AI music generators (Suno, Udio) and the DAW: generate a track → get audio URL → download → import_audio_to_tracks.' This sets it apart from other audio tools that operate on already-local files.

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?

It provides explicit usage context: 'Bridges the gap between AI music generators (Suno, Udio) and the DAW...' and an explicit alternative: 'Without this, you need manual curl/wget outside the MCP pipeline.' This tells when to use the tool and what alternative exists, which satisfies the dimension's requirement for explicit when/alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ameobius-ai/opendaw-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server