Manages background processes for AI agents, enabling real-time monitoring and control for developers.
Sponsored
mcproc bridges the gap between AI agent development and traditional command-line workflows. It allows AI agents to effectively manage long-running development processes like dev servers and build watchers, addressing the stateless nature of simple AI-launched processes. Simultaneously, developers gain full CLI access to monitor, control, and debug these processes through unified management, central log capture, and context preservation, ensuring seamless interaction across environments.
Key Features
01Real-time Monitoring of process logs from the command line
02Intelligent Log Management with capture, persistence, and advanced search
030 GitHub stars
04Unified Process Management via MCP for AI agents and CLI for developers
05Cross-Environment Visibility of processes between AI agents and developer terminals
06Project-Aware grouping of processes for organized management
Use Cases
01Capturing, persisting, and searching process logs for both AI agent debugging and manual developer analysis.
02Providing developers with real-time CLI access to monitor and control processes initiated by AI agents.
03Enabling AI agents to start, manage, and debug long-running development servers or build watchers.
