MCP server for Windows computer use, providing low-token, low-latency automation through UIA/Win32, OCR, and vision. It enables batch actions, shortcuts, isolated desktop execution, and browser control via MCP tools.
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.
MCP server for robust browser automation of legacy web portals, featuring exactly-once execution via an SQLite-backed idempotency lock and resilient Playwright locators.
Listens for Discord @mentions via Gateway and queues them for processing by an agent, exposing a tool to retrieve pending mentions for automated responses.
Enables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.
Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.
Enables AI assistants to access content from authenticated web pages by opening a real browser for manual login and session capture. It saves browser profiles locally so users only need to log in once per service for future automated access.
Zero-dependency macOS desktop automation for AI agents. Screenshot, mouse, keyboard, clipboard, and window control via MCP. 18 tools, macOS 13+, one command: npx mac-use-mcp.
Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.
Enables cloud browser automation through Browserbase and Stagehand, allowing LLMs to interact with web pages, take screenshots, extract data, and perform automated actions with support for proxies, stealth mode, and parallel sessions.
A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.
Enables cloud browser automation through Browserbase and Stagehand, allowing LLMs to navigate web pages, extract data, take screenshots, fill forms, and perform automated web interactions with multi-session support.
Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.
Enables AI assistants to search for vehicles, manage reservations, and access Enterprise Plus loyalty account information through headless browser automation on enterprise.com. It supports the complete car rental workflow including vehicle searching, booking, modifications, and points balance checks.
Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.
Enables AI assistants to perform automated web testing by controlling a Chrome browser to navigate, interact with pages, capture screenshots, extract console logs, and simulate mobile devices for responsive design testing.
Enables AI agents to search for and execute automated browser workflows through Autopilot Browser's API, allowing web scraping, data extraction, and other browser automation tasks via natural language commands.