"chrome" matching MCP servers:

Enables JavaScript-rendered Google searches and readable text extraction from public URLs via a real Chrome instance, along with health and CAPTCHA status monitoring.

Bridges AI agents (Codex, Claude Code) with a real Chrome session via CDP, enabling Google Search and Google AI interactions through the browser.

Turn your Chrome browser into an AI-powered automation tool, enabling browser control, content analysis, and semantic search via Model Context Protocol.

Enables Claude to search, reorganize, and clean up Chrome bookmarks with an interactive review UI and real undo support across Chromium-based browsers.

Lightweight MCP server for controlling a Windows Chrome instance from WSL, designed for AI coding agents with minimal token overhead and human-in-the-loop support.

Enables Google search and webpage content extraction via Chrome for macOS, allowing access to both unauthenticated and authenticated content, and integrates with Claude for secure and automated browsing tasks.

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.

provides direct access to your browser's open tabs content. No additional fetching or authentication required - simply access what you're already viewing.

Enables AI assistants to search and analyze Chrome browser history and bookmarks data locally, including keyword searches, date range filtering, recent browsing activity, and usage statistics across all platforms.

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 assistants to search LinkedIn jobs and read LinkedIn profiles read-only using a real Chrome session via CDP, with tools for job listings, full job details, profile data, and session management.

MCP server for searching and reading notes captured with the Compy Chrome extension, allowing AI agents to access local highlights and tasks on demand.

Ultra-fast web fetcher and MCP server written in Rust. Fetches any URL as clean Markdown with HTTP/3, JavaScript rendering, anti-fingerprinting, browser cookie authentication from Chrome/Firefox/Brave, and 1Password integration.

Enables access to and searching of browser history from major browsers (Brave, Chrome, Firefox, Safari, Edge, Arc, Opera, DuckDuckGo) to personalize LLM interactions and retrieve past browsing data through natural language queries.

MCP server that lets AI assistants browse the web through your real Chrome with your cookies, sessions, and fingerprint, avoiding bot detection and CAPTCHAs. Enables web browsing, content extraction, and multi-step workflows via persistent tabs.

Enables AI assistants to search, browse, add, and delete Chrome and Edge bookmarks through the MCP protocol, using a local FastMCP server that directly reads and modifies browser bookmark files.

MCP server for fetching Confluence Wiki content, including pages, search, attachments, comments, and references, with automatic authentication via a managed Chrome profile.

A local-first MCP server that turns browser bookmark exports into a searchable knowledge base with classification, merging, full-text indexing, and Chrome integration.

An MCP server that provides web search and content fetching using real Chrome browsers via CDP, bypassing bot detection and requiring no API keys.

Enables MCP clients to perform keyless web searches, extract fully rendered pages into clean Markdown, and automate a shared Chrome browser through page navigation, clicking, typing, reading, screenshots, and backtracking—all without API keys.