"A browser focused on stealth or privacy features" matching MCP servers:

Enables safe interaction with cloud LLMs by redacting sensitive entities into reversible placeholders, enforcing deterministic egress policies with human approval, and rehydrating responses so real data never leaves the process.

Browser use using Typesafe's Jev model

Enables AI agents to open, read, and act on live web pages through verified browser actions, including filling forms, extracting data, debugging pages, and handling bot walls.

A token-efficient MCP server for Chrome browser automation that uses direct CDP and accessibility-tree-based references for stable element selection across DOM changes.

Human-in-the-loop automation framework. Log them in, watch them run.

Enables a coding agent to read web pages through the user's own real, logged-in Chrome profile instead of a server-side fetcher, so pages behind logins, SSO, or bot checks load successfully. Exposes tools to extract readable text from the active tab and to open a URL in a background tab with real cookies, read it, then close it.

Gives AI agents a compact, semantic interface to the browser, returning structured page snapshots with stable element IDs instead of raw DOM. Enables agents to navigate, interact, and extract information from web pages efficiently.

Use your existing Firefox and logged-in tabs, limited to tabs or tab groups you explicitly share.

Lets MCP agents drive VS Code's integrated browser tab that the user shares with them: opening pages, taking accessibility snapshots and screenshots, clicking, typing, scrolling, dragging and reading console and network activity with real trusted input. It also maps a picked element back to the source file, line and column that rendered it, so an agent receives the same selection the developer clicked.

Enables AI agents to drive your real, logged-in Chrome browser with existing sessions and cookies, bypassing CAPTCHA and anti-bot measures, with support for multi-session and human-in-the-loop workflows.

A Model Context Protocol (MCP) integration that provides Claude Desktop with autonomous browser automation capabilities. This agent enables Claude to interact with web content, manipulate DOM elements, execute JavaScript, and perform API requests.

A browser-automation MCP server built on Playwright that provides deterministic snapshots via MutationObserver/requestAnimationFrame, HITL governance, multi-task isolation, and self-healing browser sessions for LLM-driven browsing.

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

Provides AI clients with deterministic Playwright-driven browser control, enabling navigation, interaction, screenshots, and inspection of rendered HTML, computed styles, console diagnostics, and font audits without an embedded LLM or API key.

Browser automation for AI agents: tabs, cookies, arbitrary JS execution (via CDP, bypasses CSP), screenshots, downloads, proxy switching, data cleanup. Chrome & Edge multi-browser, full permissions, zero configuration. 25+ MCP tools.

Cross-chain cryptocurrency swaps via Chainflip. Get quotes, execute swaps, and track progress. No API key required to get started.

Cloud browser API with anti-detect engine + AI behavior layer. Session-based undetectable browsers for AI agents and developers.

Enables AI agents to control a web browser using Playwright, supporting navigation, interaction, and data extraction through natural language.

Enables safe agentic execution and privacy-preserving data release by generating epsilon-noise and redacting quasi-identifiers in tabular datasets, while guarding against prompt injection, runaway spend, planning loops, and destructive shell commands.

Provides a drop-in replacement for Firecrawl's core tools, enabling AI agents to scrape, crawl, and map websites with resilient TLS fingerprinting and pay-per-success billing, while avoiding edge bot filters and blocked-request charges.