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Tool connections (MCP)

Chrome MCP Server

hangwin/mcp-chrome

Chrome MCP Server: Operate web pages in a browser through an MCP-compatible assistant.

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What is Chrome MCP Server?

Prepared by LessAI Tools from public project documentation

Chrome MCP Server's documentation describes these tasks: operate web pages in a browser; read and extract web page content. It is intended for developers connecting external tools or information to an MCP-compatible assistant; the repository includes a server entry point and implementation. Read the project setup guide and check the runtime, authorization, and permissions before using it. This introduction is based on documentation; we have not installation-tested each discovered project. Requires Node.js 20 or newer, a Chrome/Chromium extension, and a local native bridge. It uses the browser's existing sign-in state within granted permissions. The project is in early development.

Chrome MCP Server setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Chrome MCP Server use cases

  • Operate web pages in a browser
  • Read and extract web page content

Official project & documentation

View source code ↗Setup and usage guide ↗

The project’s original description

Chrome MCP Server is a Chrome extension-based Model Context Protocol (MCP) server that exposes your Chrome browser functionality to AI assistants like Claude, enabling complex browser automation, content analysis, and semantic search.

Alternatives to Chrome MCP Server for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • ExecuteAutomation Playwright MCP — ExecuteAutomation Playwright MCP: Operate web pages in a browser through an MCP-compatible assistant.
  • Chrome DevTools MCP — Let AI inspect Chrome pages to investigate errors and loading performance.
  • Playwright MCP — Let AI navigate pages, click controls, and fill forms to check web workflows.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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