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browser-tools-mcp
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browser-tools-mcp

Active·★ 7.3k·MIT·Updated 2026-08-12
★ Trending

BrowserTools MCP is a browser monitoring and interaction tool that lets MCP-capable AI applications capture and analyse browser data through a Chrome extension. It has three components: a Chrome extension that captures screenshots, console logs, network activity (XHR requests and responses) and selected DOM elements, a Node server that sits between the extension and the MCP server, and the MCP server that exposes standard tools to clients such as Cursor, Claude Desktop, Cline or Zed. The server intelligently truncates strings and duplicate objects to stay within token limits.

Version 1.2.0 added an option to auto-paste screenshots into Cursor, Lighthouse-based tools for SEO, performance, accessibility and best-practice audits, a Next.js-specific SEO prompt, a Debugger Mode and an Audit Mode that run their tools in sequence, fixes for Windows connectivity, and auto-discovery and auto-reconnect between the server, extension and MCP server. Setup is to install the extension from the release zip, run the MCP server with npx, and open the DevTools panel. The README states that all logs are stored locally and never sent to any third-party service. The project is MIT licensed.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-10.

License
MIT
Latest release
v2.0.2 · 2026-08-12
Last commit
2026-08-12
Contributors
7
Forks
534
Open issues and PRs
4
First published
2025-02-10
npm package
@agentdeskai/browser-tools-mcp 2.0.2 · 3,159 downloads last week

Source: GitHub, npm and PyPI public APIs.

#Browser Automation#AI Tools#Model Context Protocol#Web Audits#Chrome Extension#Web Browsing#Coding
$ Install
$ npx @agentdeskai/browser-tools-mcp@latest
↗ Visit site★ GitHub
01

Features

01Capture browser data (logs, network, DOM, screenshots)
02Integrate with AI via Model Context Protocol (MCP)
03Perform comprehensive web development audits (SEO, Accessibility, Performance)
04Automate headless Chrome for audit data collection
05Provide structured JSON results for AI interpretation
02

Why choose it

+Gives an assistant the browser context a developer would check: console logs, network requests, the selected element and screenshots.
+Lighthouse-based audit tools for SEO, performance, accessibility and best practices, plus Debugger and Audit modes.
+Logs stay on your machine (the README says they are never sent to third parties) and are truncated to fit token limits.
+Works with Cursor, Claude Desktop, Cline and Zed, with auto-reconnect between components.
03

Trade-offs

!You must set up three parts: the Chrome extension, the Node server and the MCP server, and keep them connected.
!It is tied to Chrome through its extension, and the README's auto-paste feature targets Cursor.
!The repository was last updated in August 2026 and the README is still described at v1.2.0.
04

Compatibility

Cursor
Native Integration
Verified via docs
Claude Desktop
Supported
Verified via docs
Cline
Supported
Verified via docs
Zed
Supported
Verified via docs
Model Context Protocol
Protocol Native
Verified via docs
05

Quick start

1
$ npx @agentdeskai/browser-tools-mcp@latest
06

Use cases

↳Enable AI coding agents to audit and debug web pages
↳Improve web application SEO, performance, and accessibility
↳Automated analysis and enhancement of NextJS applications
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
Stats
GitHub Stars★ 7.3k
Last commit2mo ago
StatusActive
LicenseMIT
CategoryBrowser Automation
Trend (30d)
+0.2k↑ 4.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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