OpenAI Speech-to-Text transcriptions MCP Server
A MCP server that provides audio transcription capabilities using OpenAI's Whisper API
What is OpenAI Speech-to-Text transcriptions MCP Server?
what is Audio Transcriber MCP? Audio Transcriber MCP is a server that provides audio transcription capabilities using OpenAI's Whisper API, allowing users to convert spoken language into written text. how to use Audio Transcriber MCP? To use Audio Transcriber MCP, clone the repository from GitHub, install the necessary dependencies, build the server, and set up your OpenAI API key in the environment variables. You can then use the transcribe_audio tool to transcribe audio files. key features of Audio Transcriber MCP? Utilizes OpenAI's Whisper API for accurate audio transcription. Supports multiple languages through ISO-639-1 language codes. Option to save transcriptions to a file. use cases of Audio Transcriber MCP? Transcribing meetings or lectures for documentation. Converting podcasts or audio recordings into text format. Assisting in accessibility by providing written transcripts of spoken content. FAQ from Audio Transcriber MCP? What is required to run Audio Transcriber MCP? You need to have Node.js installed and an OpenAI API key to use the transcription features. Can I transcribe audio in different languages? Yes! You can specify the language using the ISO-639-1 language code. Is there a limit to the length of audio files? The length of audio files may be subject to limitations based on the OpenAI API's capabilities.
As an MCP (Model Context Protocol) server, OpenAI Speech-to-Text transcriptions MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use OpenAI Speech-to-Text transcriptions MCP Server
To use Audio Transcriber MCP, clone the repository from GitHub, install the necessary dependencies, build the server, and set up your OpenAI API key in the environment variables. You can then use the transcribe_audio tool to transcribe audio files. key features of Audio Transcriber MCP? Utilizes OpenAI's Whisper API for accurate audio transcription. Supports multiple languages through ISO-639-1 language codes. Option to save transcriptions to a file. use cases of Audio Transcriber MCP? Transcribing meetings or lectures for documentation. Converting podcasts or audio recordings into text format. Assisting in accessibility by providing written transcripts of spoken content. FAQ from Audio Transcriber MCP? What is required to run Audio Transcriber MCP? You need to have Node.js installed and an OpenAI API key to use the transcription features. Can I transcribe audio in different languages? Yes! You can specify the language using the ISO-639-1 language code. Is there a limit to the length of audio files? The length of audio files may be subject to limitations based on the OpenAI API's capabilities.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like OpenAI Speech-to-Text transcriptions MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like OpenAI Speech-to-Text transcriptions MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.