bell-mcp

bell-mcp

A local MCP server that rings a bell through your speakers to provide audible notifications when AI completes tasks or needs attention.

Category
Visit Server

README

bell-mcp

A local MCP server that rings a bell through your speakers — so you get an audible nudge when your AI assistant finishes a task or needs your attention.

Four built-in sounds, synthesized from scratch with the Python standard library (no audio assets to download):

id name sound
beep Retro Beep harsh 90s PC-speaker square-wave beep
ding Ding single soft struck-bell tone
ding-ding Double Ding two struck-bell tones in a row
warning Warning Alarm urgent alternating two-tone alarm

You can preset a default sound and/or pick a sound per call.

Requirements

  • Python ≥ 3.11 and uv
  • An audio player on PATH:
    • macOS: afplay (built in)
    • Linux: paplay, aplay, or ffplay
    • Windows: PowerShell (built in)

Tools

  • ring_bell(sound?, message?) — ring a bell. sound is one of beep / ding / ding-ding / warning; if omitted, the preset default is used. message is an optional note (e.g. "build finished") echoed back in the confirmation.
  • list_bells() — list available sounds (id, name, description) and show the current default.

Configuration

The default bell (used when ring_bell is called without sound) is set via the BELL_DEFAULT_SOUND environment variable. Valid values: beep, ding, ding-ding, warning. If unset or invalid, it falls back to ding.

Install

Clone the repository, then register the server with your MCP client.

git clone git@github.com:taylor224/bell-mcp.git
cd bell-mcp
uv sync

Claude Code

Run this from the cloned project directory:

claude mcp add bell -e BELL_DEFAULT_SOUND=ding -- uv run --directory "$(pwd)" bell-mcp

Add --scope user to make it available in every project (instead of just the current one).

Verify it connected:

claude mcp list

Other MCP clients (Claude Desktop, etc.)

Add an entry to your client's MCP config. Replace /absolute/path/to/bell-mcp with the path where you cloned this repo:

{
  "mcpServers": {
    "bell": {
      "command": "uv",
      "args": ["run", "--directory", "/absolute/path/to/bell-mcp", "bell-mcp"],
      "env": { "BELL_DEFAULT_SOUND": "ding" }
    }
  }
}

Once registered, ask your assistant to ring the bell — e.g. "ring ding-ding whenever you finish a task" or "ring the warning alarm if you need my input."

Development

uv sync                          # install dependencies
uv run bell-mcp                  # run the server over stdio
uv run python -m bell_mcp.sounds # (re)generate the WAV files

The WAV files live in bell_mcp/assets/ and are generated automatically on first run. To tweak the timbres, edit the frequency / decay / partial values in bell_mcp/sounds.py and regenerate.

Project layout

bell_mcp/
  server.py     # FastMCP server + tools, cross-platform playback
  sounds.py     # WAV synthesis (stdlib only); auto-generated on first run
  assets/       # generated *.wav files
pyproject.toml  # bell-mcp entry point

License

MIT

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