"Bilibili - Chinese Video Sharing Platform" matching MCP servers:

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Enables AI agents to manage processes via structured MCP tools, reducing token usage by 75-80% compared to shell commands.

Enables AI agents to manage Supervisord processes (start, stop, restart, view logs, etc.) through the Model Context Protocol, simplifying process management in production and development environments.

Sends periodic system notifications to remind users to take breaks and move around, with customizable intervals, messages, and cross-platform notification support.

Enables AI agents to automate GUI interactions across Windows, Linux, macOS, Android, iOS, and browsers using structured platform APIs first, with vision grounding as a fallback for robust cross-platform computer use.

Enables AI agents to send cross-platform desktop notifications with priority levels, categories, and configurable duration.

Enables AI assistants to control Easy Effects on Linux via its control socket, including toggling global bypass, loading and saving presets, and reading or modifying plugin and parametric EQ settings. It also supports microphone monitoring, audio sharing, and applying AutoEQ-style EQ band lists.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.

Enables permission-aware control of authorized Windows devices via MCP tools, including device pairing, sharing, and guarded UI interaction.

Enables AI coding agents like Claude to read Windows clipboard contents (text and images) from within WSL environments, providing seamless cross-platform clipboard access through the Model Context Protocol.

A high-performance, cross-platform MCP server for split-screen window management on Windows and macOS, providing 16 window manipulation tools.

Enables AI agents to see and control Android devices through ADB and scrcpy, supporting screenshots, input, app management, UI automation, shell/file access, and audio/video streaming.

Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.

Gives AI agents vision and control over Android devices via ADB and scrcpy, enabling screen capture, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, audio/video streaming, and clipboard access.

Gives AI agents vision and control over Android devices, with tools for screenshots, touch input, app and UI automation, shell access, file transfer, clipboard, and audio/video streaming.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

A cross-platform MCP server for capturing screenshots of monitors and windows, as well as listing and closing windows.

Enables AI agents to see and control Android devices through ADB and scrcpy, including screenshots, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, audio/video streaming, and clipboard access.

Enables AI agents to semantically discover and operate Windows dialogs — waiting for, listing, describing and reading dialog controls, clicking buttons by Chinese/English labels, filling fields, and completing Save As, Open and MessageBox flows, with UIA fallback for non-standard WPF/WinUI/Electron dialogs. Actions are intent-based rather than coordinate-based, with configurable timeouts and text hashed in logs for privacy.

Cross-platform system automation tool enabling AI to control mouse, keyboard, screen, windows, and query system info via MCP.

Enables AI agents to view and control Android devices through ADB and scrcpy, supporting screenshots, touch input, app management, UI element discovery, file transfer, shell commands, and audio/video streaming.

PhonePi MCP enables seamless integration between desktop AI tools and your smartphone, providing 23+ direct actions including SMS messaging, phone calls, contact management, snippet creation and search, clipboard sharing, notifications, battery status checks, and remote device controls.

Enables MCP clients to inspect and operate desktop application UI elements through platform accessibility APIs and simulated input, without relying on screenshots, across KDE Plasma Wayland, Hyprland, and Windows under a per-app allowlist.

MCP server that wraps the MSPbots Fleet Platform API, enabling host inventory management, on-demand script execution, and saved osquery queries over the Model Context Protocol.

Enables AI agents to see and control Android devices through ADB and scrcpy, supporting screen capture, taps, swipes, typing, app management, UI inspection, file transfer, shell commands, and audio/video streaming.

Enables AI agents to see and control Android devices via ADB and scrcpy, supporting screenshots, taps, swipes, typing, app and UI automation, file transfer, shell commands, clipboard, and audio/video streaming.

Enables DSH/DeepSeek Harness to control Windows desktops by reading UI controls, windows, screenshots, and OCR text, then clicking, dragging, scrolling, typing Chinese, sending shortcuts, assigning control values, and managing windows with observation, result confirmation, and Esc stop.

Enables AI agents to see and control Android devices, with fast input, screenshots, UI element discovery, app and file management, shell access, and audio/video streaming or recording.

MCP server for Kaseya VSA — endpoints, patches, procedures, alarms, and tickets. Enables AI assistants to manage and monitor devices via the Kaseya VSA RMM platform.