An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.
MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.
MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to provide direct feedback to AI agents without consuming additional premium requests.
A FastAPI-based Model Context Protocol server that enables tool discovery, invocation history, and human-in-the-loop interaction workflows. It features a Python client and CLI for managing automated tasks that require manual approval and persistence.