Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser

draw.io MCP server for Claude Code, Cursor, Codex and VS Code: the AI draws on a live browser canvas you can also edit by hand, with versions and undo

MCP tool: let you point at DOM elements for your favorite agentic coding tool. Let AI see what you see.

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

Monitor browser logs directly from Cursor and other MCP compatible IDEs.

Standalone MCP server for SAP ABAP ADT over stdio: one destination through the auth broker (service keys, sessions, the browser login); connects to the system over HTTP, RFC or SNC (passwordless). RFC and SNC need the SAP NW RFC library at run time. Strea

MCP server for Google PageSpeed Insights and Chrome UX Report: 6 workflow tools for web performance.

AI Agent-first JS 逆向 MCP Server：有头 Chrome 调试、断点、网络/WebSocket 分析、Patchright 反检测，可选 CloakBrowser。

Open-source browser automation MCP server. Control your real Chrome from any AI agent.

Local MCP for web search, direct-URL fetch, site crawling, docs export, and bounded smartbrowser local browser actions.

MCP server for Storybook - provides AI assistants access to components, stories, properties and screenshots

MCP server for browser automation via Jan Browser extension - provides tools for web navigation, interaction, and search

Model Context Protocol server for Firefox DevTools - enables AI assistants to inspect and control Firefox browser through WebDriver BiDi

High-frequency in-browser behavior tree execution engine for autonomous AI agents — 60Hz tick loops, reactive triggers, telemetry recordings, and safety guardrails.

🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev

Chrome DevTools for coding agents

Safari browser automation for AI agents — native macOS, zero Chrome overhead. 98 tools via AppleScript + JavaScript.

Enables AI agents to open URLs in a persistent headless browser and interact with pages by clicking, typing, selecting, reading content, evaluating JavaScript, waiting for elements, and capturing screenshots.

High-frequency in-browser behavior tree execution engine for autonomous AI agents — 60Hz tick loops, reactive triggers, telemetry recordings, and safety guardrails.

Browse the web, directly from Cursor etc.

Enables AI agents to read public marketplace listings—searching sources and fetching individual listings as structured JSON—through a self-hosted bridge that runs on a residential connection and fetches pages with a real Chromium browser, avoiding datacenter IP blocks. It is strictly read-only, reporting blocks, login walls and unavailable sources as explicit statuses instead of performing any account actions.

[DEPRECATED] This package has been renamed. Please use @ironbee-ai/devtools instead.

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.

Enables MCP-capable agent CLIs on macOS to reuse an installed, unmodified OpenAI Browser Runtime to drive a connected Chrome or Edge browser (or a host's in-app browser backend) through js, js_reset, and turn_ended tools. It stays a thin bridge that preserves the Runtime's approval and security boundaries, failing closed when the client cannot handle approval requests.