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AudialAI

io.github.AudialAI/audial-mcp

Official
by AudialAI

Sing lyrics in a reference voice

text2vox

Generate sung vocals and MIDI from lyrics, a melody, and a reference voice. Supply lyrics plus a MIDI or audio melody and voice clip to produce the singing audio.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoSeed for reproducible output.
lyricsYesLyrics to sing.
midi_fileNoMIDI melody (.mid). Give this or melody_audio_file.
nfe_stepsNoSynthesis steps; more is slower and cleaner.
lyrics_modeNoauto (default) or an explicit lyric alignment mode.auto
pitch_shiftNoSemitones to shift the melody.
cfg_strengthNoGuidance strength.
strict_pitchNoForce exact pitch to the melody.
no_pitch_bendsNoDisable pitch bends.
reference_fileYesShort clip of the reference voice (timbre).
reference_textNoTranscript of the reference clip, if known.
bend_smoothing_msNoPitch-bend smoothing window in ms.
leading_silence_sNoSilence before the first note, seconds.
melody_audio_fileNoAudio whose melody is transcribed and followed, if no MIDI.
word_timestamps_fileNoOptional JSON word timings.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes
filesYes
summaryYes
metadataYes
output_dirYes
execution_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false and openWorldHint=true, so a generation/mutation profile is known. The description adds that the output includes both a sung vocal and MIDI, which is useful context. It still says nothing about runtime cost, GPU/quality tradeoffs, or the fact that reference_file is a required timbre input.

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?

A single front-loaded sentence with no filler or repetition. It is efficient, though for a 15-parameter open-world generation tool it is arguably too terse to be optimally sized.

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

Completeness2/5

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

With 15 parameters, an open-world generation annotation, and no usage guidance, a one-sentence description leaves real gaps: which melody source is required, how to pick among the many tuning knobs, and how it relates to sibling generators. The output schema and 100% param coverage cover return values and arguments, but the routing/usage layer is missing.

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

Parameters3/5

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

Schema description coverage is 100%, so all 15 parameters (seed, nfe_steps, cfg_strength, strict_pitch, etc.) are already documented in the schema. The description adds no syntax, format, or interaction detail beyond it, so the baseline of 3 applies.

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

Purpose4/5

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

The description gives a specific verb (synthesize) and resource (a sung vocal and MIDI) plus the three required inputs (lyrics, melody, reference voice). This clearly separates it from siblings like generate_music or generate_midi. It stops short of explicitly naming or contrasting those alternatives, so it does not reach the top of the scale.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as generate_music or which melody source (midi_file vs melody_audio_file) to prefer. The agent gets no routing help beyond the bare purpose statement.

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