A Node.js/TypeScript MCP server that facilitates interactive communication between LLMs and users, allowing AI assistants to request user input, display notifications, and manage command-line chat sessions.
Provides an online MCP overlay for Weavatrix Cloud and Enterprise, enabling sync, advisory refresh, and architecture contract pull with explicit confirmation.
Enables AI assistants to request user input through interactive popups in VS Code, supporting button selections, text inputs, and confirmation dialogs. This system allows for seamless human-in-the-loop interactions without interrupting the conversational flow.
MCP server that gives AI agents real interactive terminal sessions for running REPLs, SSH, database clients, and any interactive CLI with clean text output and smart completion detection.
Enables AI agents to generate and package SCORM 1.2 compliant interactive learning activities (matching and quiz) with a 16:9 responsive player shell, including scoring, timers, lives, and synthesized audio.
MCP server for managing interactive processes, enabling AI agents to start, interact with, and terminate long-running programs like SSH sessions, REPLs, and installers via read/write operations.
Enables LLMs to create and manage persistent, interactive shell sessions with full terminal emulation and PTY support. It allows for sequential command execution and supports interactive programs like vim or htop through specialized streaming and snapshot output modes.
MCP server that enables AI agents to run fully interactive SSH sessions (via tmux) and execute commands like a human operator, with persistent sessions and multiple concurrent connections.
A simple example MCP server built with Bun that provides basic utility tools including current time retrieval, message echoing, and number addition. Serves as a template for building MCP servers with Bun runtime.
Enables AI agents to remotely control gaming PCs for automated gameplay with tools for screen capture, mouse/keyboard control, workflows, and system operations.
Enables MCP-compatible agent frameworks to open a dedicated browser window that renders step-by-step SVG blackboard explanations with KaTeX math, and to pause for user input through a blocking show-and-wait loop while keeping reasoning in the calling LLM.
Provides stateful, interactive terminal access for LLMs to spawn and maintain persistent processes like SSH sessions, debuggers, and REPLs with continuous input/output interaction across commands.
Enables agents to run multi-engine web searches, find GitHub repositories, and fetch web pages as Markdown with headless-browser fallback and automatic system-proxy support.
Enables AI agents to drive genuine interactive Windows console sessions through ConPTY, so they can launch PowerShell, pwsh or CMD, send keystrokes, answer prompts, watch rendered screens and block until output matches. Multiple persistent shells can run in parallel, supporting live input, incremental reads, interrupts and window resizing.
Enables bidirectional communication between AI coding assistants and Telegram, allowing interactive confirmations via inline buttons, media and screenshot ingestion, and on-demand message polling without a background daemon.
A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.
Enables AI assistants to interact with Interactive Brokers trading accounts to retrieve market data, check positions, and place trades. Includes pre-configured IB Gateway and handles OAuth authentication automatically.
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 Node.js MCP server that enables human-in-the-loop workflow for AI development tools, allowing users to run commands, view output, and provide textual feedback directly to AI assistants.
Enables AI coding assistants like Cursor and Claude to engage in real-time two-way dialogue, allowing them to pause for clarification and request user confirmation before executing tasks. It features a modern UI for managing interaction prompts, predefined options, and project analysis to reduce errors and API costs.
Enables AI-assisted development tools like Cursor, Cline, and Windsurf to request user confirmation before acting, running shell commands and displaying their output inside a Qt feedback window that returns user notes and logs to the model. This human-in-the-loop loop lets the assistant consolidate many speculative tool calls into a single feedback-aware request, saving API usage and improving accuracy.
Provides AI agents with fully interactive terminal sessions, including TUI support, keyboard control, and screen capture across Windows, Linux, and Mac.
Provides a Qt-based graphical interface for AI tools like Cursor to facilitate real-time human feedback and streamlined command execution. It features customizable shortcut responses, image processing, and a structured RIPER-5 workflow protocol to improve development accuracy and efficiency.