peon-ping

peon-ping is an audio notification and feedback layer designed specifically for AI agents and AI-assisted development environments. Its primary purpose is to provide configurable sound cues that help users track agent activity, status, and completion events without constantly watching the screen. By integrating directly with tools like Claude Code, Cursor, Codex, and other agents, peon-ping makes interaction with long-running or asynchronous AI tasks more manageable and less interruptive.

The tool exposes simple hooks and endpoints that agents can call to trigger specific sounds based on events such as task start, completion, error, or intermediate milestones. A built-in Model Context Protocol (MCP) server lets compatible agents dynamically select and play sounds at runtime, enabling more granular and context-aware feedback. peon-ping supports custom sound sets so teams can define distinct audio profiles for different workflows, projects, or environments. It is designed to be lightweight, scriptable, and easy to integrate into existing AI pipelines and dev tools without major code changes.