Generate a beep file to signal task completion and clear a directory for new work. Ideal for coordinating AI agents in shared codebases using file-based signaling within Beep Boop MCP.
Signals task completion by removing the boop file and creating a beep file in the specified directory, preparing it for new work. Includes agent ID and optional message for tracking.
Verify the work coordination status in a directory by analyzing beep/boop files, identify stale items, and optionally clean them up based on age thresholds to streamline workflow.
Send updates to Slack or Discord for a captured message by specifying its ID and the new content to share. Ensures coordinated communication between AI agents via the Beep Boop MCP server.
A Model Context Protocol (MCP) server for coordinating work between multiple AI agents in monorepos and shared codebases using a simple file-based signaling system or Discord thread chat.
Provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents, offering unlimited queries with no rate limits and faster performance than comparable services.
Pairs Claude Code with Google's Gemini AI for complementary code analysis, enabling intelligent routing where Claude handles local-context operations while Gemini leverages its 1M token context for distributed system debugging and long-trace analysis.