"How to create pull requests on GitHub" matching MCP servers:

Enables ChatGPT to access approved local Windows folders, run commands, control the desktop, and manage session history through a permission-bounded MCP server.

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 GUI automation by executing Python code with instrumented pyautogui, providing MCP-friendly output and inline screenshot delivery.

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

Enables AI clients to operate on a remote Linux server over MCP, allowing shell command execution, file editing, package installation, project builds, and service management.

Enables communication between Claude Code sessions in iTerm2 panes, primarily for notifying other sessions when a PR is merged to main so they can pull latest changes.

Enables AI assistants to read, search, and create notes in Apple Notes on macOS via JXA, with fast bulk operations and a compact schema.

Enables interaction with Apple Notes on macOS through AppleScript, allowing users to list, search, read, create, update, and delete notes across accounts and folders.

A local-only server that enables AI agents to create, read, search, and organize Apple Notes directly on macOS. It supports folder management, note formatting, and checklists using native automation to ensure data remains private and local.

Gives AI agents full read, edit, and run access to Tasker on Android, letting them list, inspect, create, and edit tasks, profiles, projects, and scenes, run tasks and ad-hoc action lists, and read or write global variables. It connects through Tasker's own HTTP Request event and XML export/import, so only a small Tasker project is needed on the phone.

Provides native integration with Apple Reminders and Calendar on macOS, enabling full CRUD operations and smart task management through the Model Context Protocol. It allows users to search, create, and organize reminders and calendar events using natural language via the macOS EventKit framework.

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

Enables pixel-accurate mouse control, full keyboard and Unicode typing, screenshot capture, and an OCR element tree with bounding boxes on a remote GLKVM/PiKVM target, driven over its HTTPS API with no agent installed on the machine. It also detects concurrent human input and offers opt-in USB mass-storage file push/pull.

Enables AI clients to list, create, update, run, pause, resume, and delete scheduled shell-script jobs, pass inputs, and read job outputs and message feed entries.

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.

Connects ChatGPT Web to a self-hosted local coding workbench, enabling file editing, shell commands, Git/GitHub operations, multi-workspace management, code review, terminal processes, checkpoints, and optional Docker sandboxing.