"Connecting to SEC EDGAR MCP using Bedrock Models" matching MCP servers:

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

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.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Enables AI agents to capture and analyze screenshots of macOS applications, windows, or the entire screen using local (Ollama) or cloud-based AI vision models, with non-intrusive, fast screen capture via Apple's ScreenCaptureKit.

A stdio MCP server that provides safe local screen observation and one-step execution for desktop automation using Ollama vision models.

Enables SSH operations including connecting to remote servers, executing commands, and transferring files between local and remote systems. Supports multiple SSH connections with both password and private key authentication methods.

A Model Context Protocol server that gives AI models access to your iTerm terminal session, allowing them to read output, write commands, and send control characters.

A simple MCP server that provides accurate date and time information to Claude models, ensuring they always use the correct current date and time when creating time-sensitive content.

Enables AI agents to control Android TVs, TV boxes, phones, and tablets over ADB through MCP tools for scanning and connecting devices, pressing keys, launching apps, opening URLs, searching YouTube, setting alarms and timers, managing volume and power, checking state, and capturing screenshots.

A bridge that connects physical hardware devices with AI large language models via serial communication, allowing users to control hardware using natural language commands.

Enables an AI assistant to control a computer locally by viewing screens or windows, moving the mouse, clicking, dragging, scrolling, typing, pressing hotkeys, and using the clipboard.

Enables AI assistants to create, duplicate, list, and run Apple Shortcuts using Cherri code via the Model Context Protocol.

Simple MCP Runner makes it effortless to safely expose system commands to language models via a lightweight MCP server—all configurable with a clean, minimal YAML file and zero boilerplate.

MCP server for CachyOS connecting ChatGPT in developer mode to inspect and operate files, terminal, processes, apps, clipboard, and KDE/Wayland desktop.

Enables LLM agents to manage NetworkManager VPN connections through fixed, allowlisted tools for connecting, disconnecting, reconnecting, and diagnosing VPNs.

MCP server for pre-print QA of Bambu Studio projects, providing tools to inspect models and 3MF files, validate risky settings, create support variants, and open files in Bambu Studio.

Enables AI models to control a local Windows desktop by moving the cursor, clicking, scrolling, typing Unicode text, sending key chords, and capturing screenshots. Runs natively on Windows with minimal latency and no heavy dependencies such as Python, PyAutoGUI, or Docker.

An MCP server that provides tools for controlling Android devices using uiautomator2, enabling AI to automate tasks like tapping, swiping, and managing apps.

Enables Claude to send and read iMessages on macOS, with smart contact lookup, message history retrieval, and cross-conversation search using natural language commands.

macOS Notification MCP enables AI assistants to trigger native macOS sounds, visual notifications, and text-to-speech. Built for Claude and other AI models using the Model Context Protocol.

Windows control server for the Model Context Protocol, enabling programmatic control of mouse, keyboard, window management, screen capture, and clipboard operations to allow AI models to interact with and automate Windows desktops.

Enables AI agents to remotely control a real Android phone over MCP with no ADB, root, or emulator, by connecting a broker server to a sideloaded APK. Exposes tools to list devices, capture screenshots, read the UI tree, open links and deep links, and perform taps, swipes, typing, and global navigation actions.

A server that provides rich UI context and interaction capabilities to AI models, enabling deep understanding of user interfaces through visual analysis and precise interaction via Model Context Protocol.

Enables MCP clients to connect to saved Bizagi Modeler .bpm files, detect the local installation, open models, and retrieve diagram entities and connections with refresh after saves, all within a user-authorized folder.

A Model Context Protocol server that provides tools to publish messages to ROS topics via rosbridge WebSocket, enabling integration between language models and ROS-based robotics systems.

Enables AI-driven visual automation by connecting to Qontinui Runner to load workflow configurations, execute visual automation workflows, and monitor execution status across multiple displays.

Enables AI/MCP clients to enumerate, select, and operate authorized remote computers through one OAuth-protected, self-hosted endpoint, with devices connecting outbound and keeping their own cryptographic identities. It layers OAuth scopes, account-to-device grants, server profiles, and device-local ceilings to govern filesystem, shell, process, transfer, Git, and signed agent lifecycle operations with auditable results.