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117,102 servers. Updated
20 Best Browser Automation MCP Servers: compared and ranked, November 2026Ranked from 5,034 matching servers on stars, growth, downloads and maintenance. Updated .

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    Automates internal system form submissions by reading data from Excel/CSV or Google Sheets and using Playwright to navigate menus and fill form fields, with support for both visible and headless modes.
    1
    11 npm
    MIT
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    Enables MCP clients like WorkBuddy to inspect, edit, and publish Tencent Docs native collection forms, supporting question types such as short answer, single choice, multiple choice, and dropdown selections. It verifies drafts after writing and checks published versions without login cookies.
    4
    MIT
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    Enables AI assistants to evaluate business processes for automation by collecting discovery answers, calculating labor costs, scoring automation potential, and saving completed audits to a local SQLite database.
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    Enables AI assistants to automate macOS desktop tasks including mouse control, keyboard input, screenshots, window management, and UI interaction.
    7 npm
    415
    MIT
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    Enables AI clients to start and use isolated Revit 2020 instances on demand, handle common warnings and dialog popups, and retrieve the original operation result after dialogs are resolved.
    5
    MIT
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    Enables MCP clients to run read-only static audits on supplied n8n, Dify, Trigger.dev, Activepieces, and OpenAPI exports, and to screen HTTPS URLs for unsafe schemes, returning structured findings and limitations.
    4
    33 PyPI
    Apache 2.0
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    Enables AI-driven testing and automation of Tauri desktop applications through natural language, allowing users to interact with UI elements, capture screenshots, execute commands, and test application flows without manual clicking or complex scripts.
    9
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    MIT
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    Enables comprehensive control and automation of Yandex Browser, including tab management, content extraction, and console log monitoring. It supports element interaction, form filling, and JavaScript execution through the Model Context Protocol.
    18
    9
    MIT
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    Exposes the Home Assistant Automation API integration as MCP tools so an AI agent can manage automations, helpers and template entities, Lovelace dashboards, entity/device/config-entry registries, recorder history, and native entity state and service calls without hand-editing YAML.
    58
    MIT
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    Enables MCP clients to call VCF Automation 9 REST operations as individual tools across 16 services, including deployments, catalog items, blueprints, policies, and IaaS resources. It also supports service-account setup, automatic token refresh, read-only filtering, and selective service loading.
    500
    469 npm
    MIT
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    AI-driven browser automation server that implements the Model Context Protocol to enable natural language control of web browsers for tasks like navigation, form filling, and visual interaction.
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    MIT
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    Enables secure, deny-by-default automation of Windows windows with per-action permissions, allowing observation, clicking, typing, and dragging on approved applications while verifying target identity and focus at runtime.
    Apache 2.0
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    Enables AI agents to programmatically control and automate VSCode by interacting with its UI, executing commands, and inspecting the DOM structure. It supports advanced workflows like UI testing, extension development, and debugging through a standalone VSCode instance.
    9 npm
    8
    MIT
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    Enables users to configure and monitor self-hosted Instagram comment-to-DM automation through MCP, including keyword rules, targeted posts, cooldowns, and optional public acknowledgements using their own Cloudflare and Neon resources.
    1
    MIT
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    Lets an LLM like Claude inspect and control an automation job queue — list jobs, check status, trigger new runs, retry failures, and pull queue-wide stats through natural language.
    MIT
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    A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities, enabling LLMs to control mouse movements, keyboard inputs, and capture screenshots of the desktop environment.
    75 npm
    37
    MIT
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    Enables AI agents to drive desktop CAD software through natural language with verified execution, failure recovery, and traceable results across modeling, assemblies, drawings, exports, motion, FEA, and related engineering workflows.
    MIT
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    Enables AI assistants to automate web browsers through Playwright, providing capabilities for navigation, content extraction, form filling, screenshot capture, and JavaScript execution. Supports multiple browser engines with comprehensive error handling and security features.
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