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97,619 servers. Updated
20 Best Browser Automation MCP Servers: compared and ranked, October 2026Ranked from 3,678 matching servers on stars, growth, downloads and maintenance. Updated .

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  • A
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    Enables privacy-first, offline indexing and full-text search across local document workspaces while automatically redacting PII/secrets and enforcing path access controls before snippets reach LLMs.
    3
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    MCP server to drive browser-migrate operations from Claude, enabling exporting, importing, and migrating browser profiles (bookmarks, history, tabs) between browsers.
    2
    MIT
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    C
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    Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.
    MIT
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    B
    maintenance
    A read-only remote MCP server that searches and reads files from a personal Microsoft OneDrive folder via Cloudflare Workers, enabling live access without a local workstation or tunnel.
    MIT
  • A
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    Serves a local dsh workspace as a protected Streamable HTTP MCP endpoint, letting authenticated web AI agents read, search, patch, inspect, and operate the project, with optional shell commands, LSP support, and public tunneling.
    MIT
  • A
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    C
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    Локальный MCP-сервер, который предоставляет LLM собственный независимый Chromium для управления браузером, включая открытие сайтов, чтение страниц, нажатие кнопок, заполнение форм и создание скриншотов.
    MIT
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    B
    maintenance
    Gives ChatGPT hands-on control of a local machine: reading, patching and executing code in approved project folders, running real interactive processes, managing plans and worker sub-chats, and driving the browser or desktop through user-granted permissions. Every capability is a switch inside an approved-folder sandbox, so nothing runs that the user did not explicitly enable.
    1
    MIT
  • A
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    B
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    Enables ChatGPT to work on a local project by reading and editing files, running shell commands, keeping terminals and desktop sessions open, and splitting work across durable workers whose context persists between tasks. Long-running work can be steered mid-flight, tracked with Goal, and carried into fresh chats via Compact & Resume.
    MIT
  • A
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    A
    maintenance
    Lets ChatGPT work directly on a local project by reading and editing files, running shell commands and tests, keeping terminals open, and using the user's desktop, all paired with an approved workspace folder. It also splits independent jobs across persistent workers that retain context, while riding the user's existing ChatGPT plan rather than Codex quota.
    MIT
  • F
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    quality
    D
    maintenance
    Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.
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  • A
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    A Model Context Protocol server that exposes Microsoft Edge browsing history across multiple profiles, allowing listing profiles and fetching history for a given day.
    3
    MIT
  • A
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    A
    quality
    D
    maintenance
    Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
    16
    3 npm
    MIT
  • A
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    C
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    A local MCP server that gives Claude in the browser tools to interact with a Fedora machine, including file operations, system diagnostics, build tasks, and root actions via Polkit.
    MIT
  • A
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    quality
    B
    maintenance
    A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.
    MIT
  • F
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    D
    maintenance
    Enables interaction with the WhkerDB shared PDF editor to manage collaborative rooms, file structures, and real-time annotations. It allows users to upload PDFs and images, manage note trees, and sync data across platforms through natural language.
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  • F
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    D
    maintenance
    Enables Large Language Models to safely browse and interact with local file systems through secure directory listing, file reading, and content search capabilities. Built with comprehensive security controls and high-performance handling of large directories and files.
    1
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