agent-notify

agent-notify

Local spoken notifications for Codex with TTS and always-on-top overlay.

Category
Visit Server

README

<p align="center"> <img src="assets/tts-mcp-logo.svg" alt="tts-mcp" width="160"> </p>

Local spoken notifications for Codex. Each message plays through your speakers and appears in a small always-on-top overlay.

Install

Requires Python 3.11 and uv.

uv sync
uv run --no-sync agent-notify-setup
codex mcp add agent-notify -- "$(pwd)/.venv/bin/tts-mcp"

Restart Codex, then run /mcp to check that agent-notify is connected. The setup command downloads and loads the voice model, then opens a real test notification. Its generated audio is cached for later runs.

Upgrading from the earlier tts.speak tool:

codex mcp remove tts
codex mcp add agent-notify -- "$(pwd)/.venv/bin/tts-mcp"

Turn TTS on or off

Use the TTS ON / TTS OFF button in any notification window. Your choice is saved and applies to future messages; muted messages remain visible so you can turn speech back on. Turning TTS off also stops the message currently playing, and the muted window remains open for 15 seconds. A small bar at the bottom shows the remaining display time. Use the pause button beside the bar to keep a notification open, then resume the remaining countdown or close it manually.

You can also use the terminal:

uv run tts-config off
uv run tts-config on
uv run tts-config status

Try it

uv run tts-notify \
  '{"type":"agent-turn-complete","last-assistant-message":"TTS is ready."}'

Test

uv run pytest

Optional settings

Set these environment variables when registering the server with codex mcp add ... --env NAME=VALUE:

  • TTS_MCP_MODEL — Coqui model name
  • TTS_MCP_SPEAKER — speaker ID for a multi-speaker model
  • TTS_MCP_OUTPUT_DIR — directory for cached WAV files
  • TTS_MCP_OVERLAY=off — play audio without the overlay

The default model is tts_models/en/jenny/jenny. Audio continues to work when no graphical display is available.

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