"Information about Xcode development environment" matching MCP servers:

Lets an MCP client read allowlisted pages from the LiveSwapFace website, retrieve its official links, and estimate credits for a planned browser session using rates fetched at call time. It is read-only and never performs face swaps, signs in, uploads media, or touches a private API.

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.

Provides 30 MCP tools for browser extension development, including scaffolding, running, debugging, inspecting, and publishing cross-browser extensions. It enables AI agents to interact with live browsers for debugging and development.

Provides web development tools including taking screenshots and listing screens via MCP.

DevEyes is a Model Context Protocol (MCP) server that captures screenshots from your local development environment and automatically optimizes them for LLM consumption.

Enables AI assistants to access TestFlight beta tester feedback, including screenshots, crash logs, and text comments from App Store Connect. It works across any platform without requiring Xcode, using official API keys and optional browser automation for full text feedback.

One MCP endpoint, 43 tools for iOS-simulator E2E — native UI automation, Maestro flows, trustworthy oracle-ladder assertions, WebView DOM + network (JSON/HAR), and React Native debugging (Metro logs/network/state). macOS + Xcode.

MCP server that drives Safari on a physically attached iPhone via Apple's safaridriver, enabling navigation, screenshots, DOM snapshots, console logs, network timings, and tap/type/scroll actions on the real device. No Xcode, Appium, or WebDriverAgent required.

Self-hosted MCP server that gives AI assistants a real Linux development environment: file editing, shell commands, tmux terminals, and browser screenshots, with bounded access through a project registry and write gates.

Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment

A Model Context Protocol server that provides browser automation capabilities using Puppeteer with configurable options through environment variables, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a browser environment.

An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.

AI-native developer observability MCP (Model Context Protocol) server that gives AI agents full-stack visibility into your development environment — browser, terminal, and processes — all in one unified interface.

A Playwright-based MCP server that exposes a live browser as a traceable, inspectable, debuggable and controllable execution environment for AI agents.

This server provides cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.

Enables AI assistants to take screenshots of localhost development servers for visual verification of UI changes, reducing manual debugging cycles.

Enables websites to expose JavaScript functions as MCP tools, allowing AI agents to interact with the browser environment via a protocol and Chrome extension.

Enables AI agents to download high-quality videos from platforms like YouTube, Bilibili, Douyin, TikTok, and Instagram, with tools for querying media info, downloading, batch processing, cookie management, and environment checks.

An open-source self-hosted browser agent that provides a dockerized browser environment for AI automation, allowing other AI apps and agents to perform human-like web browsing tasks through natural language instructions.

An MCP server for headless mobile QA automation that controls real Safari, Flutter, and native iOS apps on Xcode Simulators via WebKit Remote Debugging Protocol, enabling parallel multi-device testing and persistent login sessions.

A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

Enables HTTP requests to be routed through Webshare proxies with exit-IP verification, proxy rotation, and strict no-fallback fetching, plus generation of permission-restricted proxy environment files.

Exposes Perplexity AI's search capabilities to Claude, enabling real-time web search and information retrieval within the assistant. The project is currently in active development with plans to support Perplexity Spaces and multi-source data synthesis.

Standardizes front-end JavaScript reverse engineering workflows by providing tools for browser observation, runtime sampling, hooking, debugging, network analysis, and local environment reproduction.

Enables driving a specific real Chrome profile with its existing logins, cookies, and sessions from MCP clients like Claude Code, using a patched Playwright MCP extension that honors a profile-directory environment variable.

A Model Context Protocol server that enables LLMs to automate web browsers using Puppeteer, allowing navigation, screenshots, form filling, and JavaScript execution in a real browser environment.

Enables browser automation using Playwright, allowing LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.

An MCP server that provides browser automation capabilities via Playwright using Server-Sent Events (SSE). It enables clients to perform web operations and scraping through a containerized Docker environment.

Enables Claude to control TradingView Desktop for automated morning briefs, chart analysis, Pine Script development, and session management via MCP tools.

Enables finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.