"Firefox Browser" matching MCP servers:

Enables Claude Code to inspect network traffic, query the DOM, read console logs, and capture WebSocket frames in Firefox.

Provides Firefox browser automation capabilities through Playwright, allowing control of Firefox from MCP-enabled applications with features for basic automation and advanced multi-tab debugging.

Gives AI coding tools access to the CSS cascade the way DevTools does — which rules matched, which won, where each came from.

A Playwright-based MCP server that prioritizes browser observation over automation, providing specialized tools for inspecting DOM, network, and console data. It categorizes operations into safe inspection tools and interactive action tools that require explicit escalation and justification.

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.

Browser-backed MCP wrapper for mcp-atlassian with Playwright SSO auth. Enables AI tools to access Atlassian Server/Data Center instances behind corporate SSO (Okta, SAML, ADFS) where API tokens are not available

MCP server + Chrome extension that gives AI coding agents control of your real browser with existing sessions, logins, and cookies. Works with Cursor, Claude, Windsurf.

Enables visual browser feedback collection directly into Claude Code. Users can point at elements in their browser and send annotated feedback that Claude can act on immediately.

Captures browser console messages (log, warn, error, etc.) and makes them available to AI language models like Claude Code and Gemini CLI for seamless debugging and development.

Enables comprehensive web frontend debugging and analysis through DOM inspection, JavaScript execution, network monitoring, console log capture, and automated browser interactions. Supports complete web development workflows including testing, data extraction, and performance analysis.

Model Context Protocol server for automating Firefox via WebDriver BiDi, enabling page navigation, snapshots, input, network monitoring, and console debugging for AI agents in MCP clients.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Lets an AI assistant inspect a running Google Chrome or Microsoft Edge browser over the Chrome DevTools Protocol, reading console output, network traffic, DOM snapshots, errors, performance metrics, storage, and screenshots. It also supports live event subscriptions, screen-frame streaming, and one-shot export of everything into an offline-readable archive such as HAR, CSV, and a self-contained HTML report.

Enables automation of browser tasks using Playwright by interacting via Claude Desktop for executing user-defined prompts and operations.

MCP server to control Arc Browser on macOS via AppleScript, enabling tab, window, space, and page operations along with frontend/backend development tools like network monitoring, console capture, and API testing.

A Node.js server that allows browsing Git repositories through MCP, providing tools to view directory structures and read important files from repositories.

A human-in-the-loop browser MCP server that pauses for user actions like login or CAPTCHA, saves and reuses authentication contexts, and extracts page data for development assistance.

Enables AI assistants to connect to browser DevTools and backend debuggers for full-stack debugging, including frontend console, network, performance, and backend log analysis.

A dynamic browser pool MCP server that enables multiple concurrent, isolated Playwright sessions for Claude Code and other MCP clients. It manages on-demand instances on dynamic ports to resolve session conflicts and includes automatic cleanup of idle browsers.

A Playwright-based MCP server that exposes a live browser as a traceable, inspectable, debuggable and controllable execution environment for AI agents.