mcp-speak-when-done

mcp-speak-when-done

An MCP server that makes AI agents speak a brief summary of every response out loud using TTS.

Category
Visit Server

README

mcp-speak-when-done

An MCP server that makes AI agents speak a brief summary of every response out loud.

When installed, the agent sees a speak_when_done tool with instructions to call it at the end of every response with a 1-3 sentence spoken summary.

Install

uvx mcp-speak-when-done

Claude Desktop / Claude Code

Add to your MCP configuration:

{
  "mcpServers": {
    "speak-when-done": {
      "command": "uvx",
      "args": ["mcp-speak-when-done"],
      "env": {
        "OPENAI_API_KEY": "your-api-key"
      }
    }
  }
}

Works with any OpenAI-compatible TTS API. The provider is auto-detected from your API key:

Key prefix Provider Default model Default voice
gsk_ Groq canopylabs/orpheus-v1-english troy
(other) OpenAI tts-1 alloy

Requirements

One audio player must be installed: ffplay (from ffmpeg), mplayer, or vlc.

Configuration

All settings are optional environment variables:

Variable Description Default
OPENAI_API_KEY API key (required) —
SPEECH_VOICE Voice name auto-detected from key
SPEECH_SPEED Speech speed 1.0
SPEECH_MODEL TTS model auto-detected from key
SPEECH_API_URL API endpoint auto-detected from key
SPEECH_MAX_RETRIES Retry count 3
SPEECH_TIMEOUT Request timeout (s) 30

Remote Use (SSH + SSE)

If you run Claude on a remote server but want audio on your local machine:

1. On your local machine (has speakers + API key):

OPENAI_API_KEY="your-key" mcp-speak-when-done --transport sse

This starts an SSE server on port 8000 (override with FASTMCP_PORT).

2. SSH tunnel from the remote server to your local machine:

ssh -R 8000:localhost:8000 remote-server

3. On the remote server, configure Claude with proxy mode:

{
  "mcpServers": {
    "speak-when-done": {
      "command": "uvx",
      "args": ["mcp-speak-when-done"],
      "env": {
        "SPEECH_PROXY_URL": "http://localhost:8000/sse"
      }
    }
  }
}

No API key needed on the remote side. If your local machine is off, the tool silently returns success — Claude keeps working normally.

Variable Description Default
SPEECH_PROXY_URL SSE server URL — (unset = direct mode)
SPEECH_PROXY_TIMEOUT Proxy timeout (s) 10

License

GPL-3.0-or-later

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured