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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MIDIFIER_HF_TOKENNoHugging Face token needed to download transcription weights.
MIDIFIER_MODEL_SIZENoModel size: 'small', 'medium', or 'large'.large
MIDIFIER_API_KEY_HASHNoWhen set, callers must present the key; the hash of the API key.
MIDIFIER_MINIO_BUCKETNoMinIO bucket name (required if storage backend is 's3').
MIDIFIER_DECODE_ATTEMPTSNoNumber of decode attempts per segment before a job fails.3
MIDIFIER_SEGMENT_SECONDSNoLength of each decoded segment in seconds.60
MIDIFIER_STORAGE_BACKENDNoStorage backend: 'local' or 's3'.local
MIDIFIER_MAX_CONCURRENT_JOBSNoNumber of transcriptions that can run at a time.1
MIDIFIER_MAX_DURATION_SECONDSNoLongest song accepted in seconds.360

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": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
transcribe_audioA

Start transcribing a song into a multi-track MIDI file.

Returns a job id to poll with transcription_status. Transcription runs at roughly three times the length of the song, and one job runs at a time.

transcription_status

Check a transcription, including its place in the queue and estimated wait.

transcription_settings

Report how this instance is configured, and how busy it currently is.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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