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Glama
skroes

whisper-mcp

by skroes
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENAI_API_KEYYesYour OpenAI API key for Whisper transcription

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
transcribe_audioA

Transcribe an audio file to text via OpenAI Whisper.

Use this after download_attachment on a channel voice/audio attachment to get the user's actual spoken message as text.

Args: file_path: Absolute or relative path to the audio file (e.g. /home/.../STATE_DIR/inbox/voice-123.ogg). Supported formats: .ogg .mp3 .m4a .mp4 .wav .webm .flac.

Returns: Transcribed text. May be empty for silent audio.

Errors are returned as MCP isError responses with the exception type and message (FileNotFoundError, ValueError for >25 MB, or RuntimeError for API/config failures).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.8/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no ambiguity. The agent will always select the correct tool.

Naming Consistency5/5

With a single tool named 'transcribe_audio', the naming is trivially consistent and follows a clear verb_noun pattern.

Tool Count4/5

One tool is appropriate for a single-purpose transcription server, though the typical range for well-scoped servers is 3-15 tools. It is slightly below that range but not unreasonable.

Completeness5/5

The server's sole purpose is audio transcription, and the tool fully covers that operation with support for various formats and error handling. No additional capabilities are necessary.

Maintenance

ActivitySlowing
ResponsivenessNo issues

Resources