"chrome" matching MCP servers:

Enables AI coding assistants to control a persistent Chrome browser through DevTools Protocol. Supports web navigation, screenshots, element interaction, mobile testing, console logs, and network debugging in a stable Docker environment.

Enables querying real-user Core Web Vitals field measurements — 75th-percentile LCP, INP, and CLS with distributions and ~40 weeks of history — for any origin or page that has enough Chrome traffic.

Enables looking up Chrome Web Store listing data — a single extension by its 32-character id, free-text search across extensions, and extensions attributed to a given publisher. Returns details such as name, rating, rating count, user count, version, last-updated date, category, and website.

Enables AI coding agents to control and inspect a live Chrome browser, providing reliable automation, in-depth debugging, and performance analysis through Chrome DevTools.

Gives an agent a real, watchable Chrome window to open and read pages, click and type, take screenshots, and inspect console messages, network requests, and script output. It also records performance traces and runs Lighthouse audits, with each chat getting its own browser that closes when the chat ends.

Enables AI coding assistants to control and inspect a live Chrome browser for automated debugging, performance analysis, and web interaction. It leverages Puppeteer and Chrome DevTools to provide capabilities like network monitoring, console logging, and automated browser actions.

Controls a running Chrome/Chromium browser via the Chrome DevTools Protocol, enabling navigation, JavaScript evaluation, tab management, and raw CDP commands through MCP tools.

A Model Context Protocol (MCP) server implementation that provides seamless integration between Chrome bookmarks and AI assistants. This server enables AI models to access, search, analyze, and manage Chrome bookmarks through a standardized protocol.

An MCP server that provides tools for interacting with Chrome through its DevTools Protocol, enabling remote control of Chrome tabs to execute JavaScript, capture screenshots, monitor network traffic, and more.

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.

Enterprise-grade Chrome automation for AI agents with compliance-ready logging, post-quantum encryption, and SIEM integration.

Open-source browser automation API with anti-detection for AI agents, web scraping, and automation, providing undetectable Chrome via MCP and REST API with Cloudflare bypass.

Safe, self-hosted MCP server for web grounding that fetches live pages through a stealth-patched Chrome and returns clean Markdown with provenance, preventing SSRF and blocks.

Enables AI agents and scripts to read and manage events on your account — guest lists with questionnaire answers, CSV export, check-in, approvals, invites and Text Blasts — through your own signed-in Chrome session, with no public API or official integration required. Runs locally over stdio, streamable HTTP, a REST API with OpenAPI docs, and a Python client.

Lets any MCP client drive the Twilio Merch Store demo's WebMCP tools through a local Chrome, republishing the page's registered tools over stdio or HTTP without reimplementing them.

Enables AI agents to publish text, images, and video to LinkedIn and queue posts for X that a Chrome extension fills into the composer for review and posting. Facebook Pages and Instagram are supported once Meta approval is granted.

The interface protocol for AI agents. 8 kernel primitives + 16 stdlib operations to operate any interface. Forge once, run forever — zero AI at runtime. 81 skills across 41 sites.

Drive the real, logged-in Chrome you already have open — cross-platform, token-budgeted reading (90%+ savings), and 24/7 headless Ubuntu support.

An MCP server that bridges LLMs with dynamic real-world data by leveraging Chrome DevTools Protocol to intercept and reconstruct network traffic, enabling AI agents to extract high-quality structured data from complex web environments.

Provides tools for Synology NAS operations (login, file management) and Chrome browser history/bookmark retrieval.