whisper-transcribe-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| WHISPER_MODEL | No | Local model size: tiny, base, small, medium, large-v3 | base |
| OPENAI_API_KEY | No | If set, activates the OpenAI backend instead of local |
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
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| transcribe_fileB | Transcribe an audio file to text. |
| transcribe_base64B | Transcribe audio provided as a base64-encoded string. |
| list_modelsA | List available Whisper model sizes and current configuration. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool serves a distinct purpose: listing models, transcribing from base64, and transcribing from file. No overlap in functionality.
All tool names follow a consistent verb_noun pattern using snake_case (list_models, transcribe_base64, transcribe_file).
Three tools is well-scoped for a transcription server: one for configuration/model listing and two for handling different input formats (base64 vs file).
The tool surface covers the core transcription workflow with two input methods and model listing. Minor gap: no support for streaming or URL-based audio input.