"How to test a React app" matching MCP servers:

Publishes a spending-summary tool alongside an interactive HTML view, letting people click a category in the answer to fetch the individual expense records behind that total. Keeps calculations and their supporting evidence together in a single inspectable flow.

A demo MCP server that returns an interactive dashboard (bar chart with dataset selector) as an MCP App via the official MCP Apps extension (SEP-1865).

Enables Claude to control the AI Coach desktop pet, making the mascot react to the conversation, accept care, show messages, act out activities, preview local files, and manage user memos.

MCP server delivering interactive MCP Apps UI for Megamarket shopping, enabling search, product details, cart, and checkout through native interfaces within the chat.

MCP server demo by Banco D that shows a loan application interactive widget across six steps, demonstrating three levels of agent visibility (full, result-only, and hidden) per MCP Apps (SEP-1865). It enables users to simulate a loan request with plan selection, PIN authorization, and disbursement while controlling what the agent sees.

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

Enables querying a brand's visibility in AI assistant answers, including competitor presence, tracked prompts, and the answers and sources behind the metrics.

An MCP server that provides live status updates for the Eco via Sirens game server, displaying meteor countdowns, player statistics, and world information directly within Claude Desktop. It also serves as a minimal reference implementation for building MCP Apps in Python without complex tooling.

A design harness for AI coding agents. Better Design gives an agent design systems, UI and UX principles, icons and UI review: it finds or creates a design system that fits the product and installs its components, explains how sign-up, forms and onboarding should work, and reviews finished screens for readability, accessibility and unclear copy.

Pay the provider's own price. No markup, no subscription. Use 400+ Vercel AI Gateway models, including Veo, Kling, Seedance, Nano Banana and GPT Image, to make video, images, voice and text right inside Claude, ChatGPT or any MCP app. Deploy your own copy to Vercel in one click; every call is billed to your own Gateway credits.

This MCP server enables MCP Apps-compatible hosts to render an interactive React-based UI and invoke a sample tool over streamable HTTP or stdio transports.

Enables AI assistants to manage restaurant operations by integrating with Toast POS, including orders, menus, employees, payments, inventory, and reporting through 50+ tools and 18 React apps.

Provides interactive, React-based UI apps inside Claude Desktop for tracking workouts, planning trips, budgeting, comparing products, and making decisions with bidirectional communication.

Renders an interactive pipeline DAG and test-harness dashboard inline in MCP hosts, showing node statuses, pass rates, costs, and latency from a JSON state file.

A parametric CAD workspace as an MCP server, enabling agents to create, edit, and manipulate 3D models through tools, with a live studio UI and STL/OBJ import/export.

Enables cross-platform real device debugging for React Native development, supporting Android, iOS, and HarmonyOS with real-time connection status, screenshots, logs, diagnostics, evidence, and Codex context.

An MCP server for rendering common ECharts visualizations from structured tool arguments, exposing per-chart opener tools that map to independent HTML app resources.

Connects TestDino test management platform to AI agents, enabling users to check test runs, analyze failures, upload Playwright test results, and manage test cases through natural language commands.

Enables AI assistants to automate mobile app testing and development for iOS and Android through natural language interactions. Supports intelligent element identification, session management, automated test generation, and comprehensive device interactions including clicks, swipes, screenshots, and app management.

Full-stack PDF intelligence MCP server for extracting, manipulating, annotating, converting, validating, and RAG-searching PDFs through a unified tool surface and React workbench.

Open-source home design and floor plan editor for AI agents: draw walls and rooms, place furniture, doors and windows, build kitchens and wardrobes, check lighting, ergonomics, electrical and plumbing against building codes, and render the plan, 3D views or photorealistic images. Runs in the desktop app, the browser or the hosted server, and every change can be undone.

Provides a persistent Docker computer with terminal, file editing, and optional desktop GUI control through a Three.js interface.

An open engine that gives AI persistent, reusable UI components with a writable component registry, versioned data storage, and a shell runtime, enabling AI to create, save, and reuse single-purpose apps.

An MCP server for C++ development that currently provides a server_status diagnostic tool. It validates a workspace directory and is designed to expand into build, test, and debugging capabilities.

Enables MCP clients to manage X/Twitter advertising campaigns, ad groups, audiences, pixels, and creative assets via the Ads API v12, with safety defaults like paused writes and explicit confirmations for spend and deletions.

A demo MCP server showcasing interactive HTML UIs for tools like list sorting, flame graphs, and feature flags, enabling bidirectional communication between user and agent.

A read-only MCP server for searching and reading recipes stored in the Mela macOS app, offering tools to search recipes, retrieve full details with photos, and list tags.

Enables creating, editing, running, and inspecting small Three.js games inside a DeepSeek Harness chat card via an MCP server and bundled app.

Enables coding agents to control a locally connected Android phone or emulator over ADB through MCP tools for device setup, UI inspection, taps, swipes, Unicode text input, app launching, and bounded batch actions, plus a live screen sidebar with clipboard capture.

Provides an interactive user interface for asking questions with support for text inputs, single/multi-select options, and confirmation dialogs. It allows LLMs to gather structured input or feedback from users through a set of predefined input types.