Audio Transcriber MCP Server
Provides audio transcription capabilities using OpenAI's Speech-to-Text API, allowing conversion of audio files to text with options for language specification and saving transcriptions to files.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Audio Transcriber MCP Server transcribe my meeting recording.mp3 and save it"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
OpenAI Speech-to-Text transcriptions MCP Server
A MCP server that provides audio transcription capabilities using OpenAI's API.
Installation
Setup
Clone the repository:
git clone https://github.com/Ichigo3766/audio-transcriber-mcp.git
cd audio-transcriber-mcpInstall dependencies:
npm installBuild the server:
npm run buildSet up your OpenAI API key in your environment variables.
Add the server configuration to your environment:
{
"mcpServers": {
"audio-transcriber": {
"command": "node",
"args": [
"/path/to/audio-transcriber-mcp/build/index.js"
],
"env": {
"OPENAI_API_KEY": "",
"OPENAI_BASE_URL": "", // Optional
"OPENAI_MODEL": "" // Optional
}
}
}
}Replace /path/to/audio-transcriber-mcp with the actual path where you cloned the repository.
Related MCP server: whisper-telegram-mcp
Features
Tools
transcribe_audio- Transcribe audio files using OpenAI's APITakes filepath as a required parameter
Optional parameters:
save_to_file: Boolean to save transcription to a file
language: ISO-639-1 language code (e.g., "en", "es")
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Available Tools
1 tooltranscribe_audioC
Transcribe an audio file using OpenAI Whisper API
Inputs: filepath (required), language, save_to_file.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and singular, making it impossible for an agent to misselect between non-existent alternatives.
The single tool name follows a clear verb_noun pattern (transcribe_audio), and with only one tool, there is no inconsistency to evaluate. The naming is straightforward and aligns with common conventions.
A single tool is too few for a server named 'Audio Transcriber MCP Server', as it suggests a limited scope that may not cover related operations like transcription status checks, file management, or configuration. This minimal set could hinder agent workflows that require more comprehensive functionality.
The tool set is severely incomplete for audio transcription tasks. While it provides a core transcription function, it lacks essential operations such as listing available transcriptions, retrieving transcription results, handling errors, or managing audio files, which are typical in such domains and could lead to agent failures.
Maintenance
Related MCP Connectors
MCP server for RiverScript, an AI transcription platform - fetches transcripts shared via a link.
MCP server for Speech-to-Text
An MCP server that provides tools to discover and retrieve podcast episodes transcripts.
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
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