{
"mcpServers": {
"whisper": {
"env": {
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"AUDIO_FILES_PATH": "${AUDIO_FILES_PATH}"
},
"args": [
"run",
"mcp-server-whisper"
],
"command": "uv"
}
}
}Are you the author?
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A Model Context Protocol (MCP) server for advanced audio transcription and processing using OpenAI's Whisper and GPT-4o models.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 174 days ago. 51 stars.
Will it work with my client?
Transport: stdio, sse, http. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
Context cost
8 tools. ~1,200 tokens (0.6% of 200K).
No automated test available for this server. Check the GitHub README for setup instructions.
list_audio_filesLists audio files with comprehensive filtering and sorting options including regex pattern matching, file size/duration/modification time filtering, and various sorting methods
get_latest_audioGets the most recently modified audio file with model support information
convert_audioConverts audio files to supported formats (mp3 or wav)
compress_audioCompresses audio files that exceed size limits
transcribe_audioAdvanced transcription using OpenAI's models with support for custom prompts and timestamp granularities
chat_with_audioInteractive audio analysis using GPT-4o audio models with conversational responses
transcribe_with_enhancementEnhanced transcription with specialized templates for different use cases
create_audioGenerate text-to-speech audio using OpenAI's TTS API with customizable voices, speed, and instructions
No known vulnerabilities.
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