An MCP server for transcribing audio files using OpenAI Whisper and GPT-4o
Listed on its own since 2026-09-26. Until then it was part of iflow-mcp-arcaputo3-mcp-server-whisper, where its earlier checks remain.
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# MCP Server Whisper <div align="center"> A Model Context Protocol (MCP) server for advanced audio transcription and processing using OpenAI's Whisper and GPT-4o models. [](https://pypi.org/project/mcp-server-whisper/) [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/)  [](https://github.com/astral-sh/uv) </div> ## Overview 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](https://modelcontextprotocol.io/), it enables AI assistants like Claude to seamlessly interact with audio processing capabilities. Key features: - 🔍 **Advanced file searching** with regex patterns, file metadata filtering, and sorting capabilities - ⚡ **MCP-native parallel processing** - call multiple tools simultaneously - 🔄 **Format conversion** between supported audio types - 📦 **Automatic compression** for oversized files - 🎯 **Multi-model transcription** with support for all OpenAI audio models - 🗣️ **Interactive audio chat** with GPT-4o audio models - ✏️ **Enhanced transcription** with specialized prompts and timestamp support - 🎙️ **Text-to-speech generation** with customizable voices, instructions, and speed - 📊 **Comprehensive metadata** including duration, file size, and format support - 🚀 **High-performance caching** for repeated operations - 🔒 **Type-safe responses** with Pydantic models for all tool outputs > **Note:** This project is unofficial and not affiliated with, endorsed by, or sponsored by OpenAI. It provi…
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