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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
}
resources
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
normalize_audioB

Normalize an audio file to 16kHz mono PCM WAV format required by Whisper.

transcribe_audioB

Transcribe an audio file using whisper.cpp. Returns the transcript text.

summarize_transcriptC

Generate a concise meeting summary from transcript text.

extract_action_itemsA

Extract action items from a meeting transcript. Returns a JSON list of tasks with owner and due date.

extract_decisionsB

Extract confirmed decisions from a meeting transcript. Returns a JSON list of decisions.

process_recordingB

Run the full Samuraizer pipeline on an audio file. Returns summary, action items, decisions, and output file paths.

search_meetingsA

Search meetings by summary text, name, action items, and decisions. Transcripts are not searched — use get_meeting for those. Returns ranked results with snippets.

list_meetingsA

List all processed meetings, sorted newest first. Optionally limit results.

get_meetingB

Retrieve the full processed output for a specific meeting by id.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 9 tools

Disambiguation5/5

Each tool has a clearly distinct purpose, from normalization and transcription to summarization, extraction, and meeting management. The separate extraction tools for action items and decisions avoid overlap, and process_recording serves as a composite operation without ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., normalize_audio, transcribe_audio, list_meetings), making it predictable and easy to understand the function of each tool.

Tool Count5/5

With 9 tools, the count is well-suited to the domain of audio processing and meeting summaries. It covers the essential steps of the pipeline and meeting retrieval without being excessively large or minimal.

Completeness5/5

The tool set covers the full workflow from raw audio normalization to transcription, summarization, extraction of action items and decisions, and includes a composite processing tool. Retrieval, search, and listing functions complete the necessary operations for managing processed meetings.

Maintenance

ActivityMaintained
ResponsivenessUnresponsive