"How to connect a backend project to MongoDB" matching MCP servers:

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.

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

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

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

MCP server that enables AI models to open the Windows Notepad application via function calling, demonstrating the complete MCP tool call workflow.

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.

Your sysadmin co-pilot — an AI that administers Linux through typed, approval-gated, Ed25519-audited actions instead of shell strings. Reference implementation of the LACS standard.

Bridges LLMs with Uyuni infrastructure management, enabling natural language system administration such as inspecting systems, managing updates, and scheduling actions.

Enables an AI agent to see and control Android devices, including x86_64 emulators and redroid, through 68 tools covering gestures, typing, apps, notifications, files, browser control, and more.

Enables Claude to execute predefined MacOS Shortcuts for extracting recipe ingredients, adding them to a Groceries list in Reminders, summarizing chat conversations into notes, and creating calendar events.

An MCP server for capturing screenshots of Qt/desktop windows and performing filesystem operations, enabling AI clients to inspect and modify project files.

A secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.

An MCP server that enables AI assistants to send native macOS notifications with automatic project detection and categorization. It includes logging capabilities for all notifications to provide an audit trail of system alerts.

A macOS-based MCP server that allows for capturing screenshots of displays and windows, as well as recording window activity to MP4 files. It leverages a Swift CLI backend to interact with macOS CoreGraphics and AVFoundation APIs for seamless screen capture management.

An SSH MCP server that enables users to connect to and manage remote servers directly from Claude Code. It provides tools to execute commands, monitor connection status, and dynamically manage server configurations through natural language.

Enables AI assistants to securely connect to and manage remote servers via SSH, supporting command execution, file transfers via SFTP, and multi-server management with both password and SSH key authentication.

Enables local project file access, editing, command execution, recoverable long-running jobs, Apple MPS checks, and macOS UI automation through MCP.