"Paradox Interactive" matching MCP servers:

Enables Claude to drive a real browser and automatically turn interactions into Clikta interactive demos, step-by-step guides, and narrated videos.

Local MCP server that exposes delegation tools for Codex, Claude, and Antigravity CLI, enabling an orchestrator agent to assign tasks to these sub-agents via non-interactive CLI commands.

MCP server that enables a coordinator AI agent to spawn, control, and supervise local coding agents with interactive gating for high-risk operations.

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

Connects selected Chrome tabs to ChatGPT through a private MCP connection so users can inspect pages, snapshot interactive elements, click, fill, select, scroll, navigate, and capture screenshots. Access stays limited to tabs the user explicitly enables, and each tab remains restricted to its current origin.

Enables Codex to delegate tasks to interactive Claude Code sessions as role-controlled subagents for exploration, code review, and implementation, using the existing Claude Code installation on macOS.

MCP server that turns any running web app into demo videos, interactive walkthroughs, and marketing captures via one command. Enables AI agents to show their work with regenerated demos on every PR.

Enables interactive restaurant discovery and ordering through a synthetic commerce flow with rich HTML UI. Demonstrates agentic commerce UX with tools to find restaurants, view menus, place mock orders, and generate receipts.

A zero-dependency universal MCP gateway that multiplexes multiple MCP servers across stdio, HTTP, and SSE, providing unified tool access, circuit breaking, and an interactive inspector studio.

MCP server for vision-first browser automation that annotates interactive elements with numbered markers, allowing AI agents to control any webpage by simply referencing element numbers.

A declarative AI agent server that provides MCP for tools, A2A for agents, and AG-UI for humans, enabling interactive chat and agent orchestration.

Adds voice conversation capabilities to AI agents via MCP, enabling local speech recognition and synthesis with tools like speak, listen, and ask_by_voice for interactive voice interactions.

Enables a Claude Desktop or Claude Code session to start, drive, and supervise interactive Claude Code CLI worker runs, including sending prompts, reading terminal output, waiting for completion, stopping runs, and managing settings and permissions.

Provides interactive visual plans for AI coding agents, allowing users to review, approve, and monitor execution in real-time.

Provides a human approval gate for AI agents, enabling interactive inline cards for approving, editing, or rejecting actions before they are executed.

Provides a deployable remote MCP server that serves interactive HTML widgets alongside tool results, enabling agent plugins for Cursor, Codex, and Claude Code.

Enables real finite element analysis from natural language: accepts STEP geometry and plain-English questions, validates setups deterministically, meshes and solves with CalculiX on Modal, and returns engineering verdicts (stress, safety factor, deflection, modal frequencies) with rendered plots and an interactive 3D viewer.

A comprehensive Model Context Protocol server that enables Claude Code to perform expect/pexpect-style automation for interactive programs, supporting complex interactions with terminal programs, SSH sessions, databases, and debugging workflows.

MCP server that executes Blueprint workflows (flow.ir) with swarm operations, dispatching agent steps to backends like Lua, Rust, processes, or interactive Operator sessions.

A template repository for building Model Context Protocol (MCP) servers that enables developers to create interactive AI agents with real-time bidirectional communication capabilities through WebSocket and SSE endpoints.

Enables reviewing agent-authored Markdown plans in a local browser with interactive diagrams, anchored feedback, revision comparison, and approval of an exact version before implementation.

Exposes interactive Claude Code CLI sessions running inside tmux across one or more machines as MCP tools, enabling agents to list, create, read, and drive those sessions over stdio.

An interface enabling high-frequency communication between AI tools (like Cursor and Windsurf) and users, allowing for option selection and information gathering through CLI, Web, or PyQt interfaces.

Enables interactive stock market analysis using local Deepseek-R1 model through Ollama. Supports querying stock data, generating visualizations, and performing financial analysis via natural language commands in Cursor IDE or terminal.

Bridges MCP clients to interactive Reasonix agents, letting you spawn, steer, poll, resume, and manage agents via tools and callbacks. Enables orchestrating long-running AI agents from any MCP host.

An interactive tool that enables users to benchmark vLLM endpoints through MCP, allowing performance testing of LLM models with customizable parameters.

Enables agents to request and receive user feedback during task execution through a terminal-based interactive feedback system.

Token-efficient browser automation for AI agents, filtering the DOM to only interactive elements and grouping them by page section, reducing token usage by 3-13x compared to Playwright MCP.

This MCP server enables users to convert web page DOM structures into accessibility trees, filter non-interactive elements, generate robust CSS/XPath locators, and compile goal-driven multi-step browser automation plans with verification.

Exposes pi as a sub-agent for MCP-capable coding assistants, enabling task dispatch, messaging, and interactive dialog handling via tools like pi_dispatch, pi_send, and pi_respond.

An MCP server that gives orchestrator agents fine-grained control over interactive Claude Code sessions running inside tmux, enabling mid-session steering, interruption, and token-efficient result extraction.

Enables Large Language Models to play chess agentically with real-time HTML board visualization and a hybrid AI engine featuring ten difficulty levels. It supports interactive games between users and agents, including a web dashboard to monitor active matches.

A task-based AI orchestrator that bridges AI models (Gemini, Claude, OpenAI) with local environments, operating as an interactive CLI and an MCP server for structured autonomous development.

Persistent tmux-backed MCP server that lets Claude Code control Codex CLI's interactive TUI, including slash commands and $imagegen. Run local shells, SSH, Docker, WSL, REPLs, and supported coding agents through durable PTY sessions.

A TypeScript MCP server for launching, tracking, and managing external coding-agent runs across local and remote backends like Codex and Claude Code. It allows top-level agents to orchestrate subagents through tools for spawning tasks, polling events, and handling interactive sessions.

Enables coding agents to drive a real, indexed Chrome browser over MCP stdio, navigating pages, observing numbered interactive elements, and performing click, type, and select actions without the server itself calling any model.

Multi-Agent Development Agentic Network that enables AI-driven software development through specialized agents, interactive wizards, and structured debate, with MCP integration for IDE tools like workflow execution, impact analysis, and ecosystem search.

An SSH-to-MCP bridge that lets MCP-capable agents reach Chrome tabs, optional desktop adapters, and scoped SideScreen tools running in a signed-in Windows session, routed through an authenticated loopback broker. It keeps browser and desktop processes in the interactive session while exposing their tools over an existing SSH connection.

Enables MCP-capable clients to act as a Salt agent identity to discover and create agents, delegate or consult, chat with humans, post interactive cards, sell products, send invoices, meter usage, manage wallets, and transact on the Salt network via local stdio credentials or hosted OAuth keyless access.

Turns existing FastAPI routes and custom Python functions into MCP tools, exposing them over ASGI, SSE, or stdio so desktop and chat AI clients can call them with native dependency-injected auth, progressive tool discovery, and self-correcting error responses. It also serves interactive in-chat HTML/JS widgets and a built-in browser inspector for testing tools without external CLIs.