"Automated WeChat public account posting tools" matching MCP servers:

Exposes a Windows desktop WeChat 4.1.6+ client as MCP tools, letting assistants read and search chat history by date, send messages or files to friends and groups, list contacts and group members, and view or post Moments. All actions run through UI automation without reverse-engineering hooks, returning structured JSON results that MCP clients such as Claude Desktop, Cursor and Cherry Studio can call.

Enables automation of WeChat on macOS through the Accessibility API, allowing LLMs to fetch recent messages from contacts and send replies based on conversation history.

Enables AI assistants to send WeChat messages through automation, supporting both immediate and scheduled message delivery to contacts and groups using the Model Context Protocol standard.

An unofficial experimental local MCP server that lets AI clients work with an already logged-in Windows Weixin desktop client, providing bounded conversation and message reads, group and message search, polling of up to 16 selected chats, guarded text and attachment submission, and image/file viewing handoffs. It also exposes hybrid Computer Use prompts for native mention handoffs, while remeasuring the window, DPI, and target controls on each action and failing closed when evidence is insufficient.

Enables an AI assistant to control a Hyprland/Wayland Linux desktop through 178 tools across 30 categories, covering audio, window and workspace management, themes and wallpapers, screenshots and recording, Bluetooth, media playback, notifications, system stats, and chained multi-step macros. Everything runs locally via hyprctl, PipeWire, and standard Linux utilities, with no cloud dependencies.

An MCP server that provides Claude with comprehensive desktop automation capabilities including browser control, window management, and native mouse/keyboard input on Windows. It enables users to capture screenshots, launch applications, and interact with the system clipboard through natural language.

A comprehensive MCP server with 30+ custom tools organized into categories: date/time operations, file management, system information, text processing, and web operations. Enables async communication with robust error handling and flexible CLI integration.

Provides advanced system monitoring and file search capabilities for macOS, allowing users to track performance metrics and perform enhanced file searches with content analysis and tagging features.

Provides environment and configuration tools for AI agents, enabling parsing and generation of .env files, port checking, system information inspection, and dependency verification.

Enables AI agents and test runners to control Android devices via local ADB, including listing devices, tapping, swiping, typing, sending system keys, launching apps, and dumping UI hierarchy. Communicates over MCP stdio without exposing network listeners.

Provides seamless integration with macOS native applications including Messages, Notes, Contacts, Mail, Reminders, Calendar, and Maps, enabling natural language control and automation of Apple ecosystem apps.

Set up Android TV, Google TV and Fire TV boxes over ADB on the local network: discover and pair boxes, set any launcher as the HOME app, install apps, take screenshots and run checks. No raw shell tool; the tools that change the box ask before they run.

AI-powered MCP server for TrueNAS SCALE storage operations with governance and safety features, enabling management of pools, datasets, snapshots, disks, alerts, and services.

Provides read-only access to native macOS system utilities including disk management, battery status, network configuration, and system profiling through terminal commands. Enables users to retrieve system information and diagnostics from macOS machines via standardized MCP tools.

Enables ChatGPT Web conversations to operate a Windows computer through MCP with local tools, permissions, task state, and audit evidence.

Windows automation MCP offering * AI Vision (e.g. Click by Description) * Windows UI Automation Tree tools * Chrome Automation via Playwright * Mouse control * Keyboard control * a lot more (>40 tools) Also comes with Python/TypeScript/C# client libs and a Windows Desktop tool to try all the tools.

Enables AI models to control Android devices via ADB through natural language commands, supporting screen analysis and automated actions.

MCP server exposing Windows desktop UI Automation as tools for AI agents, enabling automated interaction with Windows applications via Appium.

Enables screen capture, OCR text extraction, and automated clicking on macOS through MCP. Supports fullscreen, window, and region capture with optional text recognition and monitoring.

An MCP server that connects AI assistants to the NinjaOne remote monitoring and management platform via the REST API v2. It provides tools for device inventory, organization management, alert handling, maintenance scheduling, and automated job execution.

MCP server for Datto RMM, enabling Claude to interact with devices, sites, alerts, and jobs in your Datto RMM account.

A robust task scheduler server for scheduling and managing various types of automated tasks including shell commands, API calls, AI tasks, and reminders.

Provides automated GUI testing and control capabilities through an MCP server that enables mouse movements, keyboard input, screen captures, and image recognition across Windows, macOS, and Linux.

Transforms AI assistants into expert Windows application packaging assistants for Microsoft Intune, enabling automated creation of deployment packages with PowerShell App Deployment Toolkit (PSADT) scripts, silent install arguments, and detection rules.

Model-agnostic computer-use tools over MCP, enabling screen capture and automated actions (click, type, scroll) via natural language tool calls.

Enables AI clients on Windows to control the local mouse, keyboard, and screen understanding via MCP stdio, allowing automated workflows like viewing the screen, locating elements, clicking, typing, and verifying results.

Enables AI agents to remotely control gaming PCs for automated gameplay with tools for screen capture, mouse/keyboard control, workflows, and system operations.

Provides AI assistants with direct terminal access to execute commands, manage files, and run persistent REPL sessions. It features automated installation scripts that educate AI assistants on its capabilities for seamless integration.

A Model Context Protocol server that enables AI assistants to interact with Android devices through ADB, allowing for automated device management, app installation, file transfers, and screenshot capture.

A cross-platform MCP server that allows AI agents to capture screenshots of specific windows, displays, or regions for native application testing. It provides tools to list active windows and monitors, enabling precise visual verification and interaction during automated workflows.