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.
Enables ChatGPT to query stores, menus, meal details, and coupons, calculate official prices, prepare orders for per-order owner approval, submit approved intents, and check order status with duplicate-submission and UNKNOWN safeguards.
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.
MCP server that lets Claude read and send WhatsApp messages using a genuine WhatsApp Web client behind a code-enforced human-behavior middleware for safety.
Bridges the editing capabilities of an already-open DingTalk document in the browser to any MCP host via standard stdio, forwarding tools to the page's internal MCP server over a local WebSocket. Supports read/write operations through suggested edits, pairing-based security, and zero runtime dependencies.
Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.
Enables AI apps to work with Google Sheets in plain language: finding spreadsheets, reading and writing ranges, managing sheets, formatting, validation, protected ranges, tables, charts, and access control, with deliberate writes and destructive operations clearly marked.
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.
Enables AI assistants to manage Google Contacts through natural language, including searching, reading, creating, updating, and deleting contacts, organizing labels and groups, running batch operations, and converting auto-saved Other contacts into regular ones.
Web agent that keeps working when a task leaves the browser: deterministic routing between the page DOM and Windows UI Automation, with LLM-free skill replay.
Enables reverse engineering of web applications and chat interfaces through browser automation, network traffic capture, and streaming API discovery. Provides comprehensive tools for analyzing network patterns, capturing streaming responses, and automating complex web interactions.
Enables coding agents to perform computer use across browsers and native Windows apps by observing the screen, reducing it to a finite list of executable candidates, and letting a small decision model choose one action before input is sent and the result verified. It also returns per-goal outcomes, uncertainty handoffs, and run journals so the calling agent can recover from failures.
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.