"A guide to creating 3D models in Blender" 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 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 cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Enables mobile device automation for Android (via ADB) and iOS Simulator (via simctl), allowing you to control devices with natural language through screenshots, UI interactions, text input, and app management.

A stdio MCP server that provides safe local screen observation and one-step execution for desktop automation using Ollama vision models.

Enables Large Language Models to automate macOS applications and execute AppleScript commands through natural language. It features built-in security protections including application allowlists and dangerous pattern detection to prevent unauthorized or risky system operations.

Enables AI assistants to manage local tmux sessions, including creating and controlling sessions, windows, and panes, sending commands, and capturing terminal output.

Enables AI models to use custom tools defined in TypeScript — such as launching applications on the user's computer, reading notes, or calling APIs — exposed over the Model Context Protocol. Includes minimal example tools (current time, greeting, listing and opening installed apps) and connects to clients like opencode, Claude Desktop, or Cursor.

Enables MCP-compatible clients to manage cron-job.org cron jobs and folders via natural language, including creating, inspecting, updating, and deleting jobs, and reading execution history.

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 secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.

Enables file management operations on the desktop including creating, reading, editing, moving, renaming, deleting, and listing files through the Model Context Protocol.

A Model Context Protocol server that enables Claude Desktop to execute bash commands and scripts in WSL2 Linux distributions on Windows.

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.

A simple MCP server that provides accurate date and time information to Claude models, ensuring they always use the correct current date and time when creating time-sensitive content.

A secure server that enables AI applications to execute shell commands in specified directories, supporting multiple shell types (bash, sh, cmd, powershell) with built-in security features like directory isolation and timeout control.

A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.

A Model Context Protocol server that enables natural language interactive control of Universal Robots collaborative robots, allowing users to control robot motion, monitor status, and execute programs through direct commands to large language models.

A bridge that connects physical hardware devices with AI large language models via serial communication, allowing users to control hardware using natural language commands.

Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.

A Windows-only MCP server that gives AI models eyes and hands on a Windows machine, enabling file reading, screenshots, mouse/keyboard injection, and an auto-debug loop with a safety-focused watchdog for protected abort regions.

MCP server for Datto RMM, enabling Claude to interact with devices, sites, alerts, and jobs in your Datto RMM account.

An SSH-to-MCP bridge that lets MCP-capable agents reach Chrome tabs, optional desktop adapters, and scoped SideScreen tools running in a signed-in Windows session, routed through an authenticated loopback broker. It keeps browser and desktop processes in the interactive session while exposing their tools over an existing SSH connection.

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

Simple MCP Runner makes it effortless to safely expose system commands to language models via a lightweight MCP server—all configurable with a clean, minimal YAML file and zero boilerplate.