"How to send an email" matching MCP servers:

This MCP server allows AI assistants to read, send, search, and manage emails in Apple Mail on macOS. It uses AppleScript to interact with the Mail app locally.

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

Enables an MCP client such as Claude to inspect a Mac's battery, memory, CPU, GPU, disk, and most energy-hungry apps, and to shut down, restart, sleep, or lock the screen now or on a schedule with a cancellable 60-second grace period.

Enables AI assistants to read, send, search, and manage emails in Apple Mail on macOS.

Enables AI assistants to read iMessage history and send messages on macOS. Supports conversation listing, message search with keyword and semantic modes, contact lookup, and sending messages to existing conversations.

Enables an agent to observe and operate desktop apps and browsers through an accessibility-tree-first view, with clicking, typing, scrolling, dragging and waiting tools. Screenshot handling, coordinate mapping and fail-closed safety rules (risk confirmation, deny-listed apps, stale-observation refusal) are enforced inside the server.

A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.

A simple MCP server that can send notifications on mac devices.

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.

Conductor gives Claude persistent control of a local task runner, allowing automation of scripts, scheduling, pipelines, and email reports through natural language conversation.

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 any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.

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

Enables AI assistants to send Windows toast notifications and dialog boxes, allowing them to actively notify users and request confirmations through native Windows UI.

Enables AI agents to interact with macOS applications (Finder, Mail, Contacts, Reminders, Notes, Calendar, TextEdit) using AppleScript. Allows AI assistants to perform tasks like searching contacts, managing files, checking email, and creating reminders through natural language.

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.

Enables AI assistants to send desktop notifications on macOS with rich formatting, urgency levels, and sound options.

Enables AI models to play the game Peggle by capturing the primary monitor's screen and simulating mouse clicks. It provides tools for visual analysis and coordinate-based interaction to automate gameplay.

An MCP server that enables AI assistants like Claude to send native macOS notifications with tmux integration, allowing notifications to focus specific tmux sessions when clicked.

A Model Context Protocol server that allows displaying messages via polybar status bar and sending desktop notifications via notify-send/dunst.