"Paradox Interactive" matching MCP servers:

Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.

Enables AI tools to operate IBM i 5250 green screens, driving and testing interactive RPG programs by seeing screens, typing into fields, and pressing keys.

Enables comprehensive WCAG 2.0/2.1 accessibility testing of web applications using Playwright and axe-core. Supports natural language element finding, auto-discovery of interactive components, and generates detailed compliance reports with screenshots.

Enables AI agents to play, test and QA Twine / interactive-fiction HTML games by reading passages as Markdown, clicking numbered choices, inspecting story variables, screenshotting, and saving or restoring state to explore branches. It provides a small, token-friendly semantic tool surface with format detection for SugarCube, Harlowe, Snowman and Chapbook games, plus live viewing, console error capture and journal tracking for clean playtesting.

MCP server for AI agents to compile, playtest, and exhaustively explore ink interactive fiction stories, catching compile errors, runtime errors, unreachable content, and verifying story structure.

Website testing MCP server built for AI agents: 63 Playwright tools with hard assertions, auto form-fill, persistent authenticated sessions, network mocking, and accessibility/SEO/GEO + Lighthouse audits.

Enables creating immersive, interactive websites from scratch and transforming existing sites into immersive experiences, with scroll-driven frame scrubbing, business modules, a video/frame pipeline, and automatic headless verification. Works across any MCP client such as Claude Code, Cursor, VS Code, Gemini CLI, and Codex.

An MCP server that exposes a LAVA instance to agents, enabling querying the board farm, submitting and managing test jobs, and opening interactive board sessions.

Enables analysis of Karate framework feature files, extracting dependencies and generating interactive dependency graphs.

Enables AI agents to inspect, interact with, and automate VTable virtual tables and surrounding web UIs through MCP, including trusted clicks, cell reading, drag-and-drop, browser/Playwright control, and interactive UI panels for test case execution.

Enables AI agents to drive interactive browser sessions and reviewed backend operations (HTTP, PostgreSQL, Kafka, S3, Kubernetes) with typed inputs, execution limits, and shared evidence journals for assessing application behavior.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

Enables archival of any public URL as interactive snapshot (rrweb, PDF, PNG) and autonomous web QA for apps (register, scan, generate and run end-to-end flows).

Enables AI agents to load web pages in true-to-size iPhone, iPad, and Android device frames, capture screenshots, inspect interactive elements and layout diagnostics, and automate tap/type/scroll flows with network mocks, console errors, and test evidence.

An MCP server that lets an AI agent drive and inspect a running Next.js app, with headless route/error introspection and a real DOM-based in-page bridge for interactive testing.

Enables AI agents to inspect and drive native Windows desktop applications (WinForms, WPF, WinUI 3, and WebView2 hybrids) through Microsoft UI Automation by capturing interactive control snapshots, then clicking, filling, and asserting on elements via ephemeral refs or semantic screen-map targets. Mutating actions are dry-run by default and gated behind explicit arming, allow-lists, and a kill switch for lawful, assisted QA testing.

A local, MIT-licensed AI test harness with 10 MCP tools and 11 prompts for risk-based testing, accessibility checks, quality maps, evidence, and interactive reports. Runs over stdio against an explicitly configured project folder; uses the host AI coding agent, with no hosted backend or runtime telemetry.

Validates IVR flow definitions (JSON) to detect errors like unreachable nodes, dead ends, and missing fallbacks, providing scores and fix suggestions. Includes interactive visualization widget for ChatGPT and Claude Desktop integration.

A comprehensive testing suite demonstrating all Model Context Protocol (MCP) Apps features through interactive Weather Dashboard and 3D Globe viewer applications.

A Model Context Protocol server that lets an LLM open web pages, list interactive elements, take screenshots, and draw annotations with color contrast selection.

Enables AI agents to see, analyze, and visually verify web page changes through pixel-perfect diffing, theme extraction, layout analysis, and interactive element detection.

Enables agents to query LAVA board farms, submit and manage test jobs, and open interactive board sessions via the LAVA REST API.

Playwright E2E test runner with deep debugging— action capture, DOM snapshots, network analysis, error pattern matching, behavioral bisection, and interactive browser exploration.

Enables AI assistants to run and analyze pytest tests for desktop applications through interactive commands. Supports test execution, filtering, result analysis, and debugging for comprehensive test automation workflows.

Enables end-to-end testing of CLI applications, REPLs, and TUIs by driving interactive pseudo-terminal sessions and reading clean rendered output through any MCP client.

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

An interactive programming quiz server that provides assessment tools across ten tech categories with three difficulty levels. It enables users to launch quiz interfaces, receive graded feedback with explanations, and request hints through MCP-compatible tools.