Enables background execution of Claude, Codex, and Gemini CLI agents from any Model Context Protocol (MCP) client.
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This MCP server integrates powerful AI CLI tools like Claude, Codex, and Gemini into your development workflow, allowing them to run as background processes with automated permission handling. It addresses the limitations of single-agent, multi-step operations by enabling true asynchronous multitasking. Developers can orchestrate multiple AI agents simultaneously, combine the strengths of different models from various providers, and leverage context caching to efficiently handle complex coding tasks directly from their IDE or CLI.
Key Features
01Manage and monitor background AI agent processes with PID tracking.
02Seamlessly integrate and execute Claude, Codex, and Gemini CLI tools.
03Automate permission handling and approval for AI CLI operations.
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05Support a wide range of Claude, Codex (GPT), and Gemini models.
06Enable true asynchronous multi-tasking for AI agents.
Use Cases
01Leverage context caching with session IDs to optimize costs and efficiency when running multiple related AI tasks.
02Combine different AI models (Claude, Codex, Gemini) for specific development tasks based on their unique strengths.
03Orchestrate parallel AI agent tasks for multi-step coding projects like refactoring, unit testing, and documentation.
