"Pine Script v6 Python integration or comparison" matching MCP servers:

Extends Claude Desktop with custom tools for file management, system operations, and command execution. Supports creating/reading/deleting files, directory listing, system information retrieval, and file searching capabilities.

Enables AI agents to control Android devices through natural language, supporting app management, UI interaction, gestures, and system operations via uiautomator2.

Windows automation MCP offering * AI Vision (e.g. Click by Description) * Windows UI Automation Tree tools * Chrome Automation via Playwright * Mouse control * Keyboard control * a lot more (>40 tools) Also comes with Python/TypeScript/C# client libs and a Windows Desktop tool to try all the tools.

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

Reports the local user's current activity and idle state, including idle duration, idle threshold comparison, and timestamps, so agents can decide whether to wait for user feedback or keep working autonomously. All activity data is collected on-device through operating-system APIs and returned only to the connected MCP client.

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

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 secure PowerShell command execution with specialized script generation for Microsoft Intune and IBM BigFix management platforms, including detection/remediation scripts, system monitoring, and enterprise automation.

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 comprehensive control over macOS GUI elements including mouse, keyboard, window management, and screen capture. It allows for automated system interactions and script execution while maintaining safety by blocking potentially destructive deletion commands.

Enables AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities. Provides process management, device control, JavaScript REPL execution, and script injection for runtime analysis and reverse engineering.

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.

An MCP Server Integration with Apple Shortcuts

An MCP server for managing Pi-hole v6 DNS filtering and ad-blocking. It provides tools for monitoring statistics, controlling blocking, managing domain lists, and performing maintenance operations through a unified interface.

Enables management and control of Hamibot devices and scripts, including device listing, script execution, and custom JavaScript code execution.

Exposes mobile system capabilities as MCP tools so AI agents can access clipboard, location, calendar, contacts, files, storage, networking, and device connectivity through standard transports. It applies permission policies and native adapters for integration into mobile apps without bundling an AI agent or host bridge.

Connect AI with any macOS app. Deep integration with native apps like Calendar, Mail, Notes, plus UI control for all applications. Works with Claude, Cursor, Raycast, and any MCP-compatible AI.

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.

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.

A server that enables programmatic interaction with an already running Abaqus/CAE GUI application, allowing users to execute Python scripts and retrieve message logs through the Model Context Protocol (MCP).

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.

Enables an AI agent to drive a remote Linux machine over the LAN through a single TCP connection, exposing tools for shell commands, jobs, interactive PTYs, file read/write/search/transfer, process and service management, networking, packages, and power control, with optional multi-host switching. Operates without SSH or any Linux-side installation beyond one stdlib-only Python daemon, using a state-free binary protocol.

Enables AI assistants to write, validate, debug, and execute AutoHotkey v2 scripts on Windows, with tools for syntax checking, script execution, active window inspection, library search, and live debugging via DBGp protocol.

MCP server that wraps the MSPbots Fleet Platform API, enabling host inventory management, on-demand script execution, and saved osquery queries over the Model Context Protocol.

An MCP server for comprehensive browser automation and full local PC control via shell commands and Python execution. It enables tasks like web navigation, file system management, and remote access through SSE with token authentication.

Enables AI agents to read computers, clients, locations, alerts, and script catalog and history data from the ConnectWise Automate RMM REST API, and on explicit request reboot machines, run scripts or catalog commands, and create or update clients. Credentials are supplied per request via HTTP headers and never stored, supporting stateless multi-tenant use.

Provides advanced iTerm2 terminal automation using Python API integration, enabling AI assistants to create and manage terminal sessions, split panes, execute commands, broadcast to multiple panes, and monitor terminal state in real-time.

Enables MCP-capable applications to access, manage, and analyze system core dumps through integration with systemd-coredump functionality.