"Foundry Virtual Tabletop" matching MCP servers:

A Docker-based MCP server that enables AI to securely run Foundry test commands in isolated containers, with automatic dependency management and cleanup.

Enables end-to-end testing of voice-enabled web applications by simulating a synthetic user with a virtual microphone, virtual speakers, a real browser, and a viewable display, allowing audio injection, speech capture/transcription, and browser automation.

Virtual phone number platform for AI agents — rent numbers across 200+ countries, receive SMS, and manage the full activation lifecycle.

Enables AI coding agents to run Foundry tests and builds and receive compact, structured failure reports with decoded reasons, fuzz counterexamples or invariant call sequences, logs, and short traces. It also distinguishes genuine test failures from cases where tests did not run, returning actionable errors instead of false zero-failure results.

Connects AI tools to BlazeMeter's Service Virtualization platform, enabling natural language management of virtual services, transactions, and configurations.

Enables playing and observing a running Unreal Engine 5 game through virtual gamepad, keyboard, and mouse input, plus screen capture, log streaming, and UMG UI inspection and control.

Enables programmatic control and AI-driven E2E testing of iOS virtual machines by exposing display, touch input, and navigation tools. It provides hardware key emulation, app navigation, and raw touch interactions with inline screenshot feedback for real-time visual context.

An MCP server for automating virtual or physical Android devices using the Gbox SDK. It enables users to manage app installations, capture screenshots, and perform complex UI actions through natural language instructions.

Lets assistants send the same test prompts to as many as four text models across OpenRouter, Amazon Bedrock, Google Vertex AI and Microsoft Foundry, then automatically grade each answer with a judge model, rule checks and a policy gate. Returns scored leaderboards with letter grades, per-response strengths and weaknesses, latency, throughput and estimated cost, plus downloadable PDF and CSV reports.

MCP server for refereeing tabletop RPG sessions by analyzing transcripts against a configurable charter, providing deterministic findings on rule violations like unanswered questions or unacknowledged dice rolls.

Enables AI assistants to interact with Sauce Labs testing platform through natural language, providing access to device cloud management, test job analysis, build monitoring, and testing infrastructure insights. Supports both Virtual Device Cloud (VDC) and Real Device Cloud (RDC) with comprehensive test analytics and team collaboration features.

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.

Automates Android Virtual Device operations by enabling users to start emulators, execute development commands, and capture screenshots. It facilitates Android testing workflows by returning command outputs and visual feedback directly to AI assistants.

A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.

Enables AI agents to operate and view the Vega Virtual Device through MCP: press remote keys, take screenshots, record video with sound, wait for screen changes, and check the TV safe area.

Enables AI coding agents to work a full SAP ABAP developer seat over the Model Context Protocol — searching, reading, creating, editing, activating, syntax-checking, unit-testing, transporting and debugging ABAP objects through the ADT REST surface in a target ABAP system. Runs on SAP BTP Cloud Foundry behind browser OAuth with role-gated read/write access, package allowlists and destination-held backend credentials, so no credentials reach the developer's machine.

MCP server that lets AI agents see and interact with terminal/CLI applications through virtual terminals and PNG screenshots.

Let agents list, schedule, and pull evidence packets for your org’s incident-response tabletop exercises (evidence of practice, never a compliance verdict).

Enables AI agents to automate and observe Linux desktop GUIs on KDE Plasma 6 Wayland through isolated virtual sessions or live desktop connections, providing 30 tools for input, clipboard, accessibility tree inspection, screenshots, and window management.

Enables AI agents to automate Linux desktop GUI by launching and interacting with Wayland applications in isolated virtual KWin sessions, or connecting to live desktops for collaborative automation.

Enables MCP clients to submit, monitor, and manage jobs on shared NVIDIA GPUs, inspect logs and status, cancel work, and interact with isolated virtual displays through screenshots, window inspection, and input.

▎ Enables AI assistants to unleash a crowd of role-played virtual users — impatient shoppers, seniors, keyboard-only users, privacy hawks, chaos monkeys — on a website. Each persona browses in a real Chromium browser, files UX/QA findings in character, and the site receives a damage report with an S–F survival grade. Accusations can be cross-examined by up to three independent verification engines

Provides bounded, observable access to graphical apps, browsers, terminals, Android devices, virtual machines, and SSH hosts through MCP tools, enabling safe automation and app QA.

Enables AI assistants to perceive and operate macOS applications through screenshots, on-device OCR, accessibility elements, and consent-gated input, and to run an app in an isolated virtual-display session with screenshots, OCR/ASCII frames, bounded history, and evidence reports. It supports text-only models via spatial text representations while keeping capture read-only by default and gating control behind macOS permissions and operator authorization.

Enables spec-driven development workflows with AI assistants, providing tools for managing specification lifecycles, task dependencies, code navigation, testing, and automated reviews through a unified CLI and MCP interface.

Enables testing of secure MCP connections with custom CA certificates and verified TLS.

Enables running k6 load tests with customizable duration and virtual users via natural language, with real-time output and LLM-powered analysis.