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 |
Capabilities
Features and capabilities supported by this server
| 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_file | Transcribe an audio file to text. |
| transcribe_base64 | Transcribe audio provided as a base64-encoded string. |
| list_models | 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 | |
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ZahiriNatZuke/whisper-transcribe-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server