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Voice Status Report MCP Server

Voice Status Report MCP Server

Local
github.com/tomekkorbakMedia & Design8Updated 73w ago

About Voice Status Report MCP Server

Voice Status Report MCP Server turns task updates and command confirmations into speech using OpenAI's text-to-speech API. It is intended for people who want to hear agent progress while occupied with other work.

Key features

  1. 01Text-to-speech status reports
  2. 02Selectable voice and speed
  3. 03Custom voice instructions
  4. 04Optional alert sound

Use cases

  1. 01Background task progress updates
  2. 02Code change confirmations
  3. 03Command execution reports

MCP support

The MCP server exposes a summarize tool that converts text to speech and plays it for the user.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"voice-status-report": {
"command": "uvx",
"args": [
"voice-status-report-mcp-server"
],
"env": {
"OPENAI_API_KEY": "<OPENAI_API_KEY>"
}
}
}
}
Run commanduvx voice-status-report-mcp-server
Environment variables to set
OPENAI_API_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypivoice-status-report-mcp-server

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Voice Status Report MCP Server

Python Package PyPI version License: MIT Python 3.12 Install MCP Server

A Model Context Protocol (MCP) server that provides voice status updates using OpenAI's text-to-speech API. This allows language models to communicate with users through short voice messages: reporting on the progress of a task, or confirming that a command has been executed. It's espesially useful when working with Cursor or Claude code: you can give the agent a task, go on to do something else but keep receiving status reports on agent's progess and when it's done with its task and needs your attention.

This MCP server is meant to be batteries included: the description of the summarize tool (prepended to system message by most MCP clients) asks the model to use this tool to report on the progress of a task.

Available Tools

The server exposes the following tool:

  • summarize(text: str): Converts the provided text into speech using OpenAI's TTS API and plays it to the user. This is useful for providing status updates or confirmations after code changes or commands.

Usage

You'll need an OpenAI API key to use this server.

Claude for Desktop

Update your claude_desktop_config.json (located in ~/Library/Application\ Support/Claude/claude_desktop_config.json on macOS and %APPDATA%/Claude/claude_desktop_config.json on Windows) to include the following:

{
  "mcpServers": {
    "voice-status-report": {
      "command": "uvx",
      "args": [
        "voice-status-report-mcp-server"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY"
      }
    }
  }
}

Command Line Options

The server accepts the following command line options:

  • --ding: Enable the ding sound that plays before each voice message. By default, the ding sound is disabled.
  • --voice [VOICE]: Choose the voice for speech generation. Available options: alloy, ash, coral (default), echo, fable, onyx, nova, sage, shimmer.
  • --speed SPEED: Set the speech speed (0.5-4.0, where higher is faster). Default is 4.0.
  • --instructions TEXT: Provide custom voice instructions for the TTS model. By default, the server uses a preset instruction for a calm, friendly voice.
Examples
# Run with ding sound enabled and a different voice
voice-status-report-mcp-server --ding --voice nova

# Run with a slower speech speed
voice-status-report-mcp-server --speed 2.0

# Run with custom voice instructions
voice-status-report-mcp-server --instructions "Voice should be confident and authoritative"
Claude for Desktop Configuration Examples
{
  "mcpServers": {
    "voice-status-calm": {
      "command": "uvx",
      "args": [
        "voice-status-report-mcp-server",
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY"
      }
    },
  }
}

When using non-default arguments, you can use the following configuration:

{
  "mcpServers": {
    "voice-status-report-mcp-server": {
      "command": "uvx",
      "args": [
        "voice-status-report-mcp-server",
        "--ding",
        "--voice", "nova",
        "--speed", "3.0",
        "--instructions", "Voice should be confident and authoritative"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY"
      }
    }
  }
}

Example Usage

Once connected, Claude can use the tool to provide audio feedback like:

  • "Added a new function to handle user authentication"
  • "Fixed the bug in the login form"
  • "Created a new file for the API client"
  • "Added OpenAI TTS documentation link"

License

This project is licensed under the MIT License - see the LICENSE file for details.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.