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20 Best Browser Automation MCP Servers: compared and ranked, October 2026Ranked from 3,852 matching servers on stars, growth, downloads and maintenance. Updated .

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    Reproduces and verifies website bug tickets in a real browser, returning annotated video, Playwright trace, screenshots, logs, and a verdict per acceptance criterion.
    18
    -
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    Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.
    9
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    Enables AI assistants to write and debug integration tests by providing live access to DOM structure and executing code directly in test environments.
    5
    24 npm
    10
    MIT
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    Provides intelligent error detection and debugging capabilities across multiple programming languages with real-time monitoring of build, lint, runtime, console, and test errors. Offers AI-enhanced error analysis with automated resolution suggestions and context-aware debugging.
    2
    MIT
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    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.
    26
    25 npm
    18
    MIT
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    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.
    29
    MIT
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    quality
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    maintenance
    An MCP server that provides a stealth-enhanced Playwright browser automation engine with anti-detection features, enabling AI agents to navigate websites, interact with elements, and bypass anti-bot systems.
    24
    80 PyPI
    1
    Apache 2.0
  • A
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    quality
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    maintenance
    parallel-browser-mcp is an MCP server for parallel browser automation. It exposes a numeric session model over MCP so one client can create and control multiple browser sessions at the same time across multiple browser providers.
    26
    80 npm
    42
    Apache 2.0
  • A
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    A
    quality
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    maintenance
    Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.
    25
    97 PyPI
    2
    MIT
  • A
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    quality
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    Enables inspection and control of Arc Browser spaces and tabs on macOS, including reading sidebar/history data and performing actions like focusing spaces, creating and closing tabs.
    13
    1
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    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.
    36
    24 npm
    1
    MIT
  • A
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    quality
    A
    maintenance
    Use your signed-in Chrome through a local MCP server and companion extension. Supports tabs, navigation, forms, screenshots, and page reading, with a deny-all domain allowlist. Install: npx -y mcp-browser-extension@latest.
    21
    1,611 npm
    6
    MIT
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    quality
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
    57
    27
    Apache 2.0