A Model Context Protocol (MCP) server for advanced audio transcription and processing using OpenAI's Whisper and GPT-4o models.
A Model Context Protocol (MCP) server for advanced audio transcription and processing using OpenAI's Whisper and GPT-4o models.
MCP Server Whisper provides a standardized way to process audio files through OpenAI's latest transcription and speech services. By implementing the Model Context Protocol, it enables AI assistants like Claude to seamlessly interact with audio processing capabilities.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| min_duration_seconds | 300 (5 minutes) |
| min_modified_time | <timestamp for Jan 1, 2024> |
| sort_by | "size" |
| voice | "shimmer" |
| model | "gpt-4o-mini-tts" (default high-quality model) |
| instructions | "Speak in an enthusiastic, podcast host style" (optional) |
| speed | 1.0 (default, can be adjusted) |
{
"mcpServers": {
"whisper": {
"command": "uv",
"args": [
"run",
"mcp-server-whisper"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY",
"AUDIO_FILES_PATH": "${AUDIO_FILES_PATH}"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
| AUDIO_FILES_PATH | Declared in the maintainer’s client configuration. | Check documentation |
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