mini_whisper_mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_HOST | No | Host for HTTP mode | 0.0.0.0 |
| MCP_PORT | No | Port for HTTP mode | 8000 |
| MCP_TRANSPORT | No | Transport type: stdio or streamable-http | streamable-http |
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
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| transcribeA | Transcribe a base64-encoded audio file using Whisper. Args: audio_b64: Base64-encoded audio file content model: Whisper model to use: tiny, base, small, medium, large (default: base) suffix: File extension hint for the audio format, e.g. .mp3, .wav, .m4a (default: .mp3) |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| list_models | List all available Whisper models with size and speed info. |
| list_languages | List all languages supported by Whisper. |
| health | Server status and currently loaded models. |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity. The 'transcribe' tool has a clear and specific purpose for audio transcription.
The single tool name 'transcribe' uses a simple verb form, and with no other tools to compare against, naming is consistent by default.
A single tool feels thin for many servers, but for a dedicated 'mini Whisper' transcription service, it is a reasonable scope. It borders on minimal but is not excessive.
The tool covers the essential transcription functionality completely, accepting audio input and optional model parameters. There are no obvious missing operations for this narrow domain.