A2AMCP

This MCP server provides Agent-to-Agent communication infrastructure for coordinating multiple AI agents working on parallel software development tasks, enabling real-time messaging, file conflict prevention, shared interface definitions, and todo management across distributed development sessions. Built by webdevtodayjason using Python with Redis backend and modern MCP SDK 1.9.3, it implements 16+ coordination tools including agent registration and heartbeat monitoring, file locking mechanisms to prevent simultaneous edits, interface sharing for type definitions, and query-response communication patterns between agents working in separate tmux sessions or git worktrees. The implementation addresses the specific challenge of multiple AI agents modifying the same codebase simultaneously by providing persistent state management, conflict resolution strategies, and observable communication channels, making it valuable for orchestrated multi-agent coding projects, parallel feature development workflows, and any scenario where independent AI agents need to coordinate their work on shared software artifacts.