"MCP server for browser automation via Chrome DevTools" matching MCP servers:

Enables AI coding assistants to control and inspect a live Chrome browser through Chrome DevTools. Provides browser automation, performance analysis, debugging capabilities, and network request monitoring.

Enables routing context and execution across AI tools like Claude, Cursor, Windsurf, and ChatGPT with a shared memory, task board, and context bus, plus local file conversion.

MCP server that drives a user's real Chrome browser via a WebSocket-connected MV3 extension, enabling tab management, navigation, page interaction, screenshots, and script evaluation through natural language.

A powerful MCP server for browser debugging and reverse engineering, providing AI coding assistants with comprehensive browser automation, JavaScript debugging, and network analysis capabilities.

Enables AI coding assistants to control and inspect a browser via DevTools, with additional Opera Neon AI tools for chat, page actions, content generation, and research.

MCP server that gives AI full control of a live Chrome browser via CDP, with 145 tools for framework-aware intelligence, evidence analysis, and SEO auditing. Connects to your existing Chrome via an extension, enabling interaction with dynamic and authenticated web pages.

An open-source MCP server that provides browser automation capabilities to external AI systems, enabling navigation, DOM interaction, and web content extraction.

Provides specialized development tools and utilities for Next.js, allowing AI agents to perform runtime diagnostics and access official documentation. It enables automated context initialization and real-time interaction with Next.js development servers to query application state.

MCP server providing browser automation for AI agents, enabling actions like clicking and typing, structured data extraction, content validation, multi-step task execution, and memory enrichment from web pages.

A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.

A Model Context Protocol server that provides browser automation capabilities using BrowserCat's cloud browser service. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment without needing to install browsers locally.

Exposes a headful, collaborative browser over MCP so an agent and a user can share one visible Chromium window: the agent navigates, reads, clicks, types, and fills forms, while the user watches and can take over for passwords, CAPTCHAs, 2FA, and payments, with every action written to an append-only audit trail. It also runs headless under a chat-based harness.

Enables AI agents to control a stealth Patchright-driven browser via MCP, automating complex web tasks while evading anti-bot systems like Cloudflare, Akamai, Kasada, and DataDome.

A local stdio MCP server that drives your Chrome browser through the Asklear extension, offering six browser tools for navigation, observation, clicking, filling, scrolling, and extraction — all operations remain on your machine.

Enables AI agents to securely control a user's existing Chrome profile locally, providing typed browser actions, form and editor support, WordPress workflows, terminal automation, and Figma inspection with policy-based authorization and redacted auditing.

Enables secure browser automation by letting agents fill Turnkey-stored secrets into web forms without the secret values ever appearing in the conversation, transcript, or model context.

Enables AI agents to inspect and modify Chrome state directly through extension APIs, listing tabs and windows and moving or reordering tabs within and across windows. Operations are validated and never simulate mouse/keyboard input, steal focus, or activate tabs implicitly.

Enables local AI agents on macOS to drive the user's own signed-in Chrome through their own isolated tabs, with per-client tokens, blocked site categories, masked secrets and human hand-offs. Agents can open and navigate tabs, read pages, send real clicks and typing, inspect network requests, and hand tabs back to the user, all without touching other tabs or stealing focus.

MCP server that wraps sendblue-browser-use's HTTP API, providing tools to control a stealth-patched Chromium browser with persistent sessions, navigation, screenshots, and script execution.

Gives AI agents a single shared, logged-in Chrome they can drive over MCP or plain HTTP: open and read tabs, click, type, upload files, run short Playwright scripts, hand off whole web tasks to a cheaper model, and keep per-site memory. Agents work in background windows they own without stealing the user's mouse or closing their tabs.

An MCP server enabling AI agents to drive a real browser through residential proxies with per-task geo (country/city) and sticky identity, all chosen at call time.

An MCP server that gives an agent a remote browser:

A local stdio MCP server that verifies an isolated WPE WebKit runtime through a network-disabled Docker acceptance test. It exposes two bounded tools for native input, DOM/text state, and PNG capture without receiving URLs, profiles, credentials, or public-web access.

Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.

Enables MCP-capable clients to launch and control one visible, isolated Chromium session, creating and managing Tether-owned tabs, navigating to HTTP(S) URLs, reading bounded page text on request, and ending the session without touching the user's personal browser profile.

Automate your browser with AI using a Chrome extension and MCP server, enabling logged-in sessions and stealth automation.

Enables ONDC compliance automation by providing tools for managing sessions, flows, records, and forms. Supports stateless, horizontally scalable MCP over stdio and Streamable HTTP.

Enables natural language interactions for creating, querying, updating, and deleting job plans in IBM Maximo.

Enables AI agents to search for and execute automated browser workflows through Autopilot Browser's API, allowing web scraping, data extraction, and other browser automation tasks via natural language commands.

Connects MCP clients to a local NexBrowser desktop app for browser automation, environment management, and session-isolated page inspection via the Model Context Protocol.