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Whisper Transcribe MCP Server

by ZahiriNatZuke
AI & MLUse Caution4.2MCP RegistryLocal
Free

Server data from the Official MCP Registry

Transcribe audio locally with faster-whisper or through the OpenAI Whisper API.

About

Transcribe audio locally with faster-whisper or through the OpenAI Whisper API.

Security Report

4.2
Use Caution4.2High Risk

The whisper-transcribe-mcp server is a well-structured audio transcription tool with generally sound security practices. Authentication is properly delegated to environment variables (OPENAI_API_KEY), and the codebase lacks malicious patterns or dangerous operations. However, there are moderate concerns: the hardcoded GPT model identifier suggests potential for token leakage if errors are logged, and the post-processing feature introduces a dependency on the OpenAI API that users may not expect. File handling is safe with proper validation, and permissions align with the server's stated purpose. Supply chain analysis found 3 known vulnerabilities in dependencies (1 critical, 1 high severity). Package verification found 1 issue.

7 files analyzed · 10 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

system_temp

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

OpenAI API key. Enables the cloud backend and optional GPT post-processing.Required

Environment variable: OPENAI_API_KEY

Default faster-whisper model size when using the local backend.Optional

Environment variable: WHISPER_MODEL

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-zahirinatzuke-whisper-transcribe-mcp": {
      "env": {
        "WHISPER_MODEL": "your-whisper-model-here",
        "OPENAI_API_KEY": "your-openai-api-key-here"
      },
      "args": [
        "whisper-transcribe-mcp"
      ],
      "command": "uvx"
    }
  }
}

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Whisper Transcribe MCP Server - Transcribe audio locally with faster-whisper or through the | MCP Marketplace