"A Python-based server for browser automation" matching MCP servers:

Enables MCP clients to run complete browser workflows through a single run_workflow tool, with anti-detection backends, intelligent element location, automatic retries, and session persistence.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Reliable, scalable browser infrastructure for AI agents. Route, pool, and failover across any browser provider. 8 built-in browser tools using raw Chrome CDP - navigate, screenshot, snapshot, interact, evaluate. Zero-config with auto Chrome detection & concurrent sessions support

Browser use using Typesafe's Jev model

Enables MCP clients to drive a self-hosted Chrome session for browsing tasks through browser tools, while providing a live view URL so a human can take over at prompts like logins or 2FA.

Exposes a headful, collaborative browser over MCP so an agent and a user can share one visible Chromium window: the agent navigates, reads, clicks, types, and fills forms, while the user watches and can take over for passwords, CAPTCHAs, 2FA, and payments, with every action written to an append-only audit trail. It also runs headless under a chat-based harness.

Enables AI agents to control a stealth Patchright-driven browser via MCP, automating complex web tasks while evading anti-bot systems like Cloudflare, Akamai, Kasada, and DataDome.

Enables AI agents to drive a real headful Chrome browser using vision-first computer interactions, with support for multi-agent tab groups, password-manager-filled logins, and human handoff.

MCP server that lets agents drive your real Chrome browser with existing logins and sessions via an outbound-only WebSocket extension. It exposes Playwright-compatible browser tools for navigation, clicking, typing, and snapshots.

Enables governed browser automation for AI agents with human-in-the-loop approval, audit logging, and read-only replay, supporting both ASK and AUTO autonomy modes.

A hardened local browser MCP server that drives your existing Chrome over the DevTools Protocol, providing token-efficient Markdown extraction and stealth features to avoid trivial automation detection.

MCP server for managing and controlling multiple isolated Chrome/Edge browser instances, exposing tools for navigation, screenshots, clicking, form filling, and JavaScript execution to AI clients.

Enables AI agents to control a real, persistent Chrome browser over MCP, perceiving pages as accessibility trees and interacting with elements by their accessible names without automation fingerprints or site-specific glue.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Gives MCP-compatible AI agents direct control of your real browser with existing sessions, logins, and cookies. Supports multiple agents concurrently with tab targeting.

Enables an agent to drive a real browser while enforcing provenance-based gating so URLs and form values must trace to the user or an allowlist, never to untrusted page content.

Enables AI agents to control local Chrome/Edge browser profiles through MCP, including tab groups, bounded DOM actions, observations, and optional encrypted credential use.

Enables AI agents to drive a live, persistent self-hosted Chromium session over MCP, running browser actions via Playwright/CDP, capturing page snapshots, screenshots and videos, and managing uploads and downloads in the same tabs and signed-in accounts a human user can take over at any time.

Enables LLM clients to drive a real browser one outcome at a time, with the TypeSafe System One model choosing the element, action and value while Playwright performs the action, and with the LLM never needing to read page snapshots unless it takes over. Exposes tools for navigation, goal-directed actions, yes/no page checks, option choosing, page reading, compact snapshots, direct actions, screenshots and invoking a page's own WebMCP tools.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.