hangwin/mcp-chrome

Chrome MCP Server is a Chrome extension-based Model Context Protocol (MCP) server that exposes your Chrome browser functionality to AI assistants like...

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Summary Information

Updated 10 minutes ago
Added to GitGenius on September 4th, 2026
Created on June 9th, 2025
Open Issues & Pull Requests: 230 (+0)
GitHub issues: Enabled
Number of forks: 1,130
Total Stargazers: 12,387 (+0)
Total Subscribers: 48 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.2 hours
Mean response time: 9.3 days
90th percentile: 19.7 days
Tracked items: 200

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 81% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 2% of issues opened in the past year have been closed. Three people close 77% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 201
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 306 days
Stale 30+ days: 193
Stale 90+ days: 162

Recent activity

Opened in 7 days: 2
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

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Detailed Description

mcp-chrome is a Chrome extension-based Model Context Protocol server that exposes browser functionality to AI assistants for automation and content analysis.

The tool solves the problem of integrating AI assistants with real browser environments by running as a Chrome extension rather than launching a separate browser process. This approach lets AI models control your existing Chrome instance with all your login states, configurations, and user habits intact. It provides over twenty tools for screenshots, network monitoring, interactive operations, bookmark management, and browsing history, along with semantic search capabilities powered by a built-in vector database and WebAssembly SIMD optimization for faster vector operations.

The project suits developers who want AI-assisted browser automation without the overhead of launching independent browser processes or re-authenticating. It works best for workflows where you need an AI assistant to interact with your actual browsing environment rather than a clean slate. Compared to Playwright-based MCP servers, the extension approach eliminates the need for separate browser binaries and inter-process communication overhead, preserves your existing browser environment and login states, and provides direct access to Chrome native APIs rather than being limited to Playwright's API surface.

The project is in early development stages with intensive ongoing work. The team has introduced a visual editor for Claude Code integration and continues adding stability improvements and new features.