{"id":"interactive-mcp","name":"Interactive MCP","homepage":"https://github.com/ttommyth/interactive-mcp","repo_url":"https://github.com/ttommyth/interactive-mcp","category":"developer-tools","subcategories":["human-in-the-loop","notifications","user-input"],"tags":["mcp","human-in-the-loop","vibe-coding","notifications","interactive","user-input","chat","cli"],"what_it_does":"MCP server that enables real-time human-in-the-loop interaction during AI-assisted coding workflows. Provides tools for prompting user input with optional predefined choices, sending OS-level notifications, and establishing persistent command-line chat sessions between the LLM and user.","use_cases":["Collecting user confirmation or choices mid-workflow during AI code generation","Sending OS notifications when long-running AI tasks complete","Establishing persistent chat sessions for iterative feedback during vibe coding","Interactive setup and configuration workflows requiring user decisions","Pair programming where AI needs to clarify ambiguous instructions"],"not_for":["Remote or headless server environments without a local display","Fully autonomous agent pipelines with no human oversight","Production deployment as a user-facing service","Batch processing where user interaction is not desired"],"best_when":"You want AI coding assistants to pause and ask for human input, confirmation, or feedback during complex multi-step workflows rather than guessing or making autonomous decisions.","avoid_when":"You need fully autonomous agent execution without human interaction, or you are running in a headless/remote environment without access to a local terminal and display.","alternatives":["inquirer-mcp-server"],"af_score":61.8,"security_score":60.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github","github_awesome"],"priority":"low","status":"evaluated","version_evaluated":"1.10.1","last_evaluated":"2026-03-01T09:50:05.723052+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}