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95,285 servers. Updated
20 Best Browser Automation MCP Servers: compared and ranked, October 2026Ranked from 3,477 matching servers on stars, growth, downloads and maintenance. Updated .

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    A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.
    25
    10 npm
    11
    Apache 2.0
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    Enables AI agents to attach to Chrome tabs, set breakpoints, inspect scope variables, evaluate expressions, and step through code using Chrome DevTools Protocol for runtime debugging.
    18
    38 npm
    1
    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.
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    353 npm
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    MIT
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    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
    184 npm
    1
    MIT
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    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
    133 npm
    42
    Apache 2.0
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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.
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    MIT
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    MCP server that provides tools and resources for interacting with Google Ads API, enabling search, metadata retrieval, and account management through natural language.
    3
    2,759 PyPI
    1,001
    Apache 2.0
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    Enables LLMs and AI agents to query and explore Google Ads accounts and API resources through MCP tools and resources, including account information, resource metadata, metrics, segments, and release notes.
    3
    Apache 2.0
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    Google Analytics 4 MCP server with local STDIO and shared team Cloud Run modes, realtime visitor counts, metadata discovery, and funnel analysis.
    10
    MIT
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    Enables managing Google Ads campaigns through an AI assistant with read-only reporting, recommendations, and gated write operations for bids, budgets, and statuses, all backed by preview and audit logging.
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    Multi-user Google Ads MCP server with OAuth-per-user auth, Firestore token storage, raw GAQL queries, and 10+ extra reporting tools beyond the official server.
    13
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    MIT
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    An MCP server for the Google Ads API, providing 29 tools for campaign management, reporting, and optimization.
    29
    36 PyPI
    3
    MIT
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    Enables LLMs and AI agents to query Google Ads accounts and reporting data through the Google Ads API, including customer lookups, resource metadata inspection, and reference material on metrics, segments, and release notes. Tools and resources can be selectively enabled and namespaced via a configuration file, with authentication handled through Application Default Credentials or an OAuth proxy.
    3
    Apache 2.0
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    Enables agents to run Google searches across web, images, videos, news, books, shopping, scholar, patents, and AI Mode without an API key, using a cookie-bootstrapped HTTP fast path with a headless browser fallback, proxy rotation, and adaptive cooldowns. Every response reports an explicit status (ok, blocked, rate_limited, empty, error) so results are never fabricated.
    2
    22
    MIT
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    Multi-account Google Ads MCP server that allows connecting any number of Google Ads accounts and querying campaign performance, keywords, search terms, and account analytics by name in the same session.
    10
    MIT