"Coding in Python and R" matching MCP servers:

An open-source MCP server that lets any coding agent operate your computer like a person does—reading the UI through accessibility trees, clicking and typing in the background, showing an agent pointer, zooming into regions, and driving your signed-in Chrome on macOS, Windows, and Linux.

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

A standalone MCP server for Linux desktop control, enabling screenshots, mouse/keyboard input, app/window management, and clipboard access via a Python bridge.

Enables AI assistants to interact with macOS windows through yabai, providing window listing organized by Spaces and screenshot capture capabilities.

Enables an MCP client to observe and control a text-mode DOS system via a Python bridge, supporting keyboard input and screen capture.

Enables voice-controlled hardware to execute approved Mac actions (like opening apps and querying system status) through a secure MCP bridge.

Manage macOS launchd jobs from MCP tools with support for Python-script tasks, scheduling, logs, and lifecycle management.

Enables AI agents to manage a Canonical Landscape estate, including inventory, alerts, patching, and script execution, with built-in safety layers to prevent accidental destructive actions.

Enables local X11 desktop control for MCP clients, including persistent Python execution, AT-SPI accessibility inspection, screenshots, and recoverable mouse/keyboard input for operating real applications.

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

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Enables AI agents to interact with IBM i systems through SQL tools and commands, supporting secure authentication, system monitoring, and database operations via the Model Context Protocol.

Enables coding agents to read, query, and safely modify RouterOS 7 devices over the REST API, covering firewall, routing, DHCP, DNS, interfaces, containers, files, and diagnostics, with confirmation gates and a scheduled rollback guard in front of disruptive changes.

Enables Windows agents to control desktop applications and isolated Chromium sessions through a unified computer tool, supporting discovery, observation, input, window management, browser automation, and sequencing actions.

Enables AI agents to interact with and automate Windows desktop applications, providing UI inspection, mouse/keyboard control, OCR, and window management for QA tasks.

Provides tools to parse and describe cron expressions in plain English, and compute future run times.

MCP stdio server that lets DSH agents see and operate Windows desktop apps via UI Automation, screenshots, mouse/keyboard, OCR, and window management.

Enables controlling your own Linux desktop machines from any MCP-capable LLM client, with opt-in agent capabilities for shell, filesystem, processes, screenshots, system info, and input injection.

A Python-based MCP server for local Windows diagnostics, task management, cleanup, hardware inspection, security checks, and administrative workflows.

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