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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HF_SPACE_URLYesYour Hugging Face Space URL for audio analysis (e.g., https://YOUR-USERNAME-audio-analysis-api.hf.space)

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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_youtubeA

Full audio perception: downloads from YouTube, analyzes audio features (BPM, key, energy), extracts metadata (title, artist), fetches synced lyrics, and generates spectrogram visualization. Runs locally to bypass datacenter IP blocking.

download_audioA

Download audio from YouTube without analysis. Returns local file path.

get_lyricsA

Get lyrics for a track from LRCLIB. Returns synced lyrics if available.

search_lyricsB

Search for lyrics on LRCLIB

pingA

Check if Synesthesia is running

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.6/5.0

Scored across 5 tools

Disambiguation3/5

analyze_youtube bundles downloading, audio feature extraction, lyrics fetching, and visualization, so its scope overlaps with download_audio and get_lyrics. search_lyrics and get_lyrics are reasonably distinct but rely on the agent infering LRCLIB search-vs-get semantics. Overall, the one-stop analysis tool blurs boundaries.

Naming Consistency4/5

Four tools follow a clear verb_object pattern: analyze_youtube, download_audio, get_lyrics, search_lyrics. ping is a minor deviation but is a conventional health-check exception. Names are otherwise predictable and readable.

Tool Count5/5

Five tools is a tight, focused set for a YouTube audio and lyrics utility. Each tool has a functional reason to exist, and the count avoids both bloat and thinness.

Completeness4/5

The core workflow of downloading YouTube audio, analyzing it, and retrieving lyrics is covered without dead ends. Niche operations like analyzing an already-local file or listing past analyses are missing, but agents can work around these gaps.

Maintenance

ActivityInactive
ResponsivenessNo issues