by pinkpixel-dev
Enhance your workflow with platform-specific notification sounds on Android. Get alert sounds & custom tones, including
Plays audio notification chimes when tasks complete, helping you know when long-running processes finish without constantly checking the screen.
Notification Chimes is a community-built MCP server published by pinkpixel-dev that provides AI assistants with tools and capabilities via the Model Context Protocol. Enhance your workflow with platform-specific notification sounds on Android. Get alert sounds & custom tones, including It is categorized under productivity, developer tools. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
You can install Notification Chimes in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Notification Chimes is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Notification Chimes has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Notification Chimes reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Notification Chimes into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Notification Chimes for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Notification Chimes benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Notification Chimes is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Notification Chimes is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: Notification Chimes surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Notification Chimes has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Notification Chimes against two servers with overlapping tools; this profile had the clearer scope statement.
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# ✨ Notifications MCP Server ✨
**Dream it, Pixel it. Made with ❤️ by Pink Pixel.**
[](LICENSE) [](https://github.com/model-context-protocol/model-context-protocol) [](https://www.npmjs.com/package/@pinkpixel/notification-mcp) [](https://smithery.ai/server/@pinkpixel-dev/notification-mcp)
[](https://www.typescriptlang.org/) [](https://nodejs.org/) [](https://www.npmjs.com/package/@pinkpixel/notification-mcp)
[](https://www.npmjs.com/package/@pinkpixel/notification-mcp) [](https://github.com/pinkpixel-dev/notification-mcp/stargazers) [](https://github.com/pinkpixel-dev/notification-mcp/issues) [](http://makeapullrequest.com)
[](https://github.com/pinkpixel-dev/notification-mcp) [](https://pinkpixel.dev) [](https://pinkpixel.dev)
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.