"How to use GitHub" matching MCP servers:

Launches multiple Browser-Use agents to automatically test websites for UI bugs, broken links, accessibility issues, and other technical problems on both live and localhost sites.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

MyChart MCP Server

Browser use using Typesafe's Jev model

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-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.

MCP server that converts web page URLs to Markdown via the Zyla API.

Enables agents to fetch URL content as plain text or pretty-printed JSON, with optional pay-per-use monetization through Vybe Collect.

An open-source MCP server that lets any coding agent operate your computer like a person does—reading the UI through accessibility trees, clicking and typing in the background, showing an agent pointer, zooming into regions, and driving your signed-in Chrome on macOS, Windows, and Linux.

MCP server that lets AI agents perform Google AI Mode searches using the user's own browser session, returning synthesized answers with citations.

Enables agents to perform recorded, snapshot-evidenced computer-use and browser-use in a fresh, disposable VM, with interruptive actions judged by the agent.

Enables any MCP-connected agent to drive a browser by reading each page as an indexed action-space table and performing one guarded operation on a numbered target, refusing and refreshing when the page changes instead of retrying selectors.

Use your existing Firefox and logged-in tabs, limited to tabs or tab groups you explicitly share.

Enables recording how React components render in headless Chrome and explains the main performance problem in a card inside Claude.

Enables coding agents to drive a real Chrome browser to complete natural-language web tasks and return evidence for verification.

Enables an agent to observe and operate desktop apps and browsers through an accessibility-tree-first view, with clicking, typing, scrolling, dragging and waiting tools. Screenshot handling, coordinate mapping and fail-closed safety rules (risk confirmation, deny-listed apps, stale-observation refusal) are enforced inside the server.

Enables any MCP client or OpenAI-compatible application to use Meta Muse through a logged-in Chrome session, with tools for chat, attachments, session management, media retrieval, streaming, and tool-call compatibility.

Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

A Windows-only MCP server for controlling a real browser using native screenshots, Windows accessibility, and node-interception mouse/keyboard input, without CDP or Playwright.

Let Claude Code, Codex and any AI agent use the Chrome you're already signed in to. Open-source CLI + MCP server + Chrome extension (native messaging, no debug port); stealth by default.

Enables fast, precise control of web browsers and the physical desktop through MCP, combining DOM and native OS accessibility targeting with vision-based fallback and human-like mouse movement. Supports clicking, typing, scrolling, dragging, and drawing on canvas or paint applications across Linux, Windows, and macOS.

MCP server enabling AI agents to control a real Linux browser with live view, human takeover, and safety guardrails.

Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript.

MCP server for Windows computer use, providing low-token, low-latency automation through UIA/Win32, OCR, and vision. It enables batch actions, shortcuts, isolated desktop execution, and browser control via MCP tools.

Enables Google Antigravity chats to control macOS applications, multi-window layouts, and browser tabs through MCP, including background UI automation, screenshots, and a non-intrusive virtual cursor.

Multi-account X (Twitter) automation that drives a real Chrome session with your own cookies, so no X API key is needed. 32 tools for posting, replies, search, engagement, and media, with draft approval on by default.

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

AI-driven browser automation server that implements the Model Context Protocol to enable natural language control of web browsers for tasks like navigation, form filling, and visual interaction.

Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Crawl and scrape websites to clean markdown, map their sitemaps, and track what changed between crawls. Use the hosted server or run it locally.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Measures and improves how findable, readable, and usable a website is to AI answer engines and autonomous AI agents through hosted AEO audit tools.

Riffle is the web browsers agents use to save on context and quickly navigate the inter-webs.

Token-efficient MCP control for the Chrome session you already use—tabs, cookies, logins, and all.

MCP server for se-cli that exposes 50+ Selenium browser automation tools for AI agents, enabling browser control through a thin wrapper around se-cli.

Enables AI agents to control a persistent Chrome browser through a local daemon, with Jev performing routine actions and the host agent handling reasoning, text, and verification.

Provides AI clients with deterministic Playwright-driven browser control, enabling navigation, interaction, screenshots, and inspection of rendered HTML, computed styles, console diagnostics, and font audits without an embedded LLM or API key.

Pixel-level browser automation MCP server that drives a real Chrome browser using screenshots as vision input and OS-level mouse/keyboard as output, evading anti-bot detection.

Enables AI agents to operate local desktops and Chromium browsers through MCP tools, unifying accessibility trees, physical input, screenshots, DOM/ARIA, visual grounding, and result verification.