Whisper Transcribe

AI & ML Python v1.1.3

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

View source ↗ Website ↗ Generate config for multiple servers More servers

Install

Pin version registry version 1.1.3

Python
uvx whisper-transcribe-mcp

Python
uvx whisper-transcribe-mcp@1.1.3

Setup by client

Pick your client — the config below is generated for this server (local stdio). Copy respects the “Pin version” switch above.

claude_desktop_config.json

{
  "mcpServers": {
    "whisper-transcribe-mcp": {
      "command": "uvx",
      "args": [
        "whisper-transcribe-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

{
  "mcpServers": {
    "whisper-transcribe-mcp": {
      "command": "uvx",
      "args": [
        "whisper-transcribe-mcp@1.1.3"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

Format verified against the official Claude Desktop docs ↗.

terminal

claude mcp add --env OPENAI_API_KEY=<YOUR_OPENAI_API_KEY> whisper-transcribe-mcp -- uvx whisper-transcribe-mcp

claude mcp add --env OPENAI_API_KEY=<YOUR_OPENAI_API_KEY> whisper-transcribe-mcp -- uvx whisper-transcribe-mcp@1.1.3

Format verified against the official Claude Code docs ↗.

.cursor/mcp.json

{
  "mcpServers": {
    "whisper-transcribe-mcp": {
      "command": "uvx",
      "args": [
        "whisper-transcribe-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

{
  "mcpServers": {
    "whisper-transcribe-mcp": {
      "command": "uvx",
      "args": [
        "whisper-transcribe-mcp@1.1.3"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

Format verified against the official Cursor docs ↗.

.vscode/mcp.json

{
  "servers": {
    "whisper-transcribe-mcp": {
      "command": "uvx",
      "args": [
        "whisper-transcribe-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

{
  "servers": {
    "whisper-transcribe-mcp": {
      "command": "uvx",
      "args": [
        "whisper-transcribe-mcp@1.1.3"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

Format verified against the official VS Code docs ↗.

mcp_config.json

{
  "mcpServers": {
    "whisper-transcribe-mcp": {
      "command": "uvx",
      "args": [
        "whisper-transcribe-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

{
  "mcpServers": {
    "whisper-transcribe-mcp": {
      "command": "uvx",
      "args": [
        "whisper-transcribe-mcp@1.1.3"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

Format verified against the official Windsurf docs ↗.

Environment variables

Defined in the server's official registry manifest. Required secrets are shown as <YOUR_…> placeholders in the configs above.

OPENAI_API_KEY secret — OpenAI API key. Enables the cloud backend and optional GPT post-processing.
WHISPER_MODEL — Default faster-whisper model size when using the local backend.
WHISPER_POST_PROCESS_MODEL — OpenAI chat model used for optional GPT post-processing.

GitHub

最近更新于 28 天前 · MIT license

About this server

Distributed as Python, listed under AI & ML. Review our MCP security guide before granting access to real data.

Frequently asked questions

How do I install Whisper Transcribe?

Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.

Is Whisper Transcribe free to use?

The MCP server itself is free to install. The source is public on https://github.com/ZahiriNatZuke/whisper-transcribe-mcp. Any third-party service it calls may require its own API key and account.

Which clients support Whisper Transcribe?

Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.

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