"A guide to finding the best trading algorithms" matching MCP servers:

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

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

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

An MCP server that gives AI coding agents structured port intelligence — finding free ports, identifying port hogs, and killing zombie processes without leaving the chat.

MCP server that fixes Windows DPI coordinate scaling for AI desktop automation. Provides UI element finding via Windows Accessibility APIs and coordinate conversion between physical and logical coordinate systems.

A local MCP server for Windows that gives Claude control of your screen, enabling screen viewing, image-based element finding, clicking/typing, macro recording and replaying, and scheduled automation with failsafe safety features.

This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.

Enables AI coding agents to automate Windows desktop applications through semantic UI Automation instead of brittle coordinate clicks, with tools for discovering windows, finding controls by stable identifiers, and verifying actions.

A thin MCP adapter that connects an LLM to the ros2_medkit SOVD HTTP API, enabling discovery, data retrieval, operation execution, and configuration management for ROS 2 systems.

A black-box desktop automation MCP server that handles screenshots, coordinates, and clicks internally to complete tasks given by the user.

Computer-use agent framework that uses Grok CLI and MCP to control the desktop via screen OCR, mouse/keyboard actions, and a chat HUD.

Enables MCP clients to control a Linux/X11 desktop like a human: see the screen, move the mouse, click UI elements via the accessibility tree, type text, and manage windows.

A self-hosted, VNC-backed MCP server that enables AI agents to control a dedicated macOS user session remotely, without disturbing the console user.

A Python-based server that enables AI assistants to control robots by integrating the Model Context Protocol (MCP) with ROS 2, allowing for natural language commands that translate into robot movement via the /cmd\_vel topic.

Enables AI agents to control a Hyprland Wayland desktop by listing windows, capturing screenshots, and sending input to a dedicated agent workspace without disrupting the user's screen.

Lets MCP clients discover and run AppleScript or JavaScript for Automation (JXA) to control macOS applications, inspect the system, or reuse scripts from a bundled knowledge base.