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
- 01Text-to-speech status reports
- 02Selectable voice and speed
- 03Custom voice instructions
- 04Optional alert sound
Use cases
- 01Background task progress updates
- 02Code change confirmations
- 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.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEVoice Status Report 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
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.