Interactive
Enables interactive communication between LLMs and users through local OS notifications and command-line prompts.
About
Interactive facilitates a dynamic interaction between Large Language Models (LLMs) and users by providing a Model Context Protocol (MCP) server that delivers OS notifications and command-line prompts. Designed to run locally alongside MCP clients, it bridges the gap between AI processing and real-time user input, enhancing workflows requiring active collaboration or confirmation during LLM operations. It empowers LLMs to request user input, send completion notifications, and engage in persistent command-line chat sessions.
Key Features
- Individual tools can be disabled via command-line arguments.
- Customizable timeout for user prompts.
- Requests user input with optional predefined choices.
- 1 GitHub stars
- Sends OS notifications for task completion or important alerts.
- Initiates and manages persistent command-line chat sessions for complex interactions.
Use Cases
- Interactive setup and configuration processes guided by an LLM.
- Clarifying instructions and confirming actions in pair programming scenarios.
- Gathering user feedback during code generation or modification.
Sponsored