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Glama
AudialAI

io.github.AudialAI/audial-mcp

Official
by AudialAI

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AUDIAL_API_KEYYesYour Audial API key, required. From https://audialmusic.ai.
AUDIAL_USER_IDYesYour Audial user id, required. From https://audialmusic.ai.
AUDIAL_RESULTS_DIRNoDirectory where Audial results are downloaded.~/Audial
AUDIAL_API_BASE_URLNoAudial API base URL. Defaults to the production API.
AUDIAL_JOB_TIMEOUT_SNoJob timeout in seconds.900

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
stem_splitC

Split a track into separate instrument stems, optionally retimed and rekeyed.

analyzeA

Analyze a track: BPM, key, loudness and other characteristics. Results are in metadata.

segmentB

Detect song sections (intro, verse, chorus...) and analyze components within them.

masterB

Master a mix, optionally matching a reference track.

generate_samplesB

Extract a sample pack (one-shots and loops) from a track.

generate_midiC

Transcribe an audio file to MIDI.

generate_musicC

Generate music with the Audial music model.

Text to music, covers, remixes, stem extraction, completion, or analysis (understand).

sound2vitalA

Turn a one-shot sample into an editable Audial Synth preset.

text2voxB

Synthesize a sung vocal (and MIDI) from lyrics, a melody and a reference voice.

list_resultsA

List previous Audial results in the results folder, newest first.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 10 tools

Disambiguation3/5

Most tools cover distinct audio operations such as stem splitting, analysis, mastering, MIDI transcription, and vocal synthesis, so many choices are clear. However, generate_music advertises stem extraction, analysis, and completion, overlapping with stem_split, analyze, and segment, which could cause misselection.

Naming Consistency3/5

Names follow mixed conventions: verb-only (analyze, segment, master), verb_noun (generate_samples, list_results), and concatenated forms (stem_split, sound2vital, text2vox). They remain readable, but there is no predictable naming pattern.

Tool Count5/5

With 10 tools, the set sits in the recommended 3-15 range and each tool represents a distinct audio or music capability. The surface does not feel bloated or thin for this domain.

Completeness4/5

Core workflows are covered: splitting, analysis, segmentation, mastering, sample/MIDI generation, music/vocal generation, synth preset conversion, and listing results. A minor gap is the lack of get_result/status or deletion/management operations beyond list_results.

Maintenance

ActivityNo data
ResponsivenessNo issues