mcp-chrome

🥇Gold

The mcp-chrome is a powerful Chrome extension that acts as a Model Context Protocol server, allowing AI assistants like Claude to use Chrome's capabilities for advanced browser automation, content analysis, and semantic search. Enhance your AI's functionality with integration into your browsing experience.

11,1718920Updated Today

Intermediate15 minutes to implementproductivity

Saves ~75 min per use

Quick InstallView Source

claude install hangwin/mcp-chrome

Works with:

Claude

Overview

About This Skill

How to Use

["1. Install the mcp-chrome extension in your Chrome browser.","2. Open the Productiv dashboard in a new tab.","3. Use the mcp-chrome extension to connect to your AI assistant, such as Claude.","4. Provide the specific metrics you want to analyze, such as MRR, CAC, and CLTV.","5. Review the extracted data and insights provided by the AI assistant."]

Use Cases

Automate repetitive web tasks like form filling and data scraping to save time.

Analyze web content for insights, extracting key information for reports or research.

Perform semantic searches across multiple tabs to find relevant information quickly.

Integrate AI-driven functionalities into browsing, enhancing user interactions with web applications.

Best For

GrowthMarketing

Setup & Installation

Quick Install

Terminal

claude install hangwin/mcp-chrome

Alternative Install (Git Clone)

git clone https://github.com/hangwin/mcp-chrome

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use the mcp-chrome extension to analyze the financial data from Productiv for [COMPANY]. Extract key metrics such as [METRIC1], [METRIC2], and [METRIC3] from the dashboard. Provide a summary of trends and insights based on the data.

Example Output

Based on the financial data from Productiv for TechCorp, the following key metrics were extracted: Monthly Recurring Revenue (MRR) at $500,000, Customer Acquisition Cost (CAC) at $200, and Customer Lifetime Value (CLTV) at $2,500. The data shows a steady increase in MRR over the past six months, indicating strong growth. However, the CAC has also risen, suggesting a need to optimize marketing spend. The CLTV remains high, which is a positive sign for long-term profitability. Recommendations include focusing on high-value customer segments and exploring cost-effective acquisition channels.