"Building a Real-Time Automated DNS and AI Load Balancing System with AWS Integration" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables system automation and control including command execution, process management, network tools, environment variables, disk usage, and service status.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

Schedule Windows desktop reminders from Claude Desktop using PowerShell and Windows Task Scheduler. Supports one-time and recurring reminders that persist across reboots.

FastMCP server for DNS lookups and WHOIS domain research. It supports multiple record types and comprehensive domain investigation including parallel lookups and reverse IP resolution.

Enables AI to execute registered system commands across platforms using a stable program + args interface, without requiring shell-specific syntax or tool discovery.

Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.

Connects AI assistants to AWS infrastructure through AWS IAM Identity Center for secure, natural language management of cloud resources across multiple accounts. It enables users to execute AWS CLI commands, monitor resources, and run remote shell commands on EC2 instances via Systems Manager.

An MCP server that enables Claude to generate and execute AWS CLI commands, allowing users to manage AWS resources through natural language conversations.

A Python MCP server that lets MCP-compatible clients inspect and operate AWS through the AWS CLI, with command execution, suggestions, region lookup, and caller identity checks.

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

Enables AI agents to monitor system resources and control media, brightness, volume, and other Windows PC functions through natural language commands.

A Python CLI package aaws published to GitHub with PyPI distribution via GitHub Actions. Natural language in → AWS CLI command out, with explain, confirm, and safety layers. Available as MCP server.

Enables running multiple AI CLI tools (Claude, Codex, Gemini, Forge, OpenCode) as background processes with automatic permission handling, allowing LLMs to execute async multitasking and combine different AI models.

Enables SSH remote command execution on any host using the system ssh binary, supporting existing configurations like ssh-agent, ProxyCommand, and jump hosts.

An AI-native Taskwarrior bridge that provides natural language task management for Claude Code and other AI systems, integrating with existing Taskwarrior infrastructure.

It enables AI assistants to run installed command-line tools and scripts, drive persistent terminals and browsers, and retrieve saved jobs, screenshots, and other evidence on a server. It also provides a dashboard for tracking sessions, installed tools, and connection settings.

Enables creating and managing AWS EKS clusters via Terraform, including VPC, node groups, add-ons, and kubectl configuration.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.

Enables MCP clients to drive an installed Path of Building (PoE2) through the full pob command set as tools, allowing agents to read and modify builds, run calculations, search trade, and highlight locations in the PoB interface without modifying it.

Multi-threaded terminal management MCP server for AI assistants, enabling async command execution, batch operations, and real-time web monitoring with up to 100 concurrent terminals.

Enables large language models to interact with ROS robots seamlessly, allowing natural language control, real-time sensor monitoring, and autonomous task execution without modifying existing robot code.

Local SSH credential broker and stdio MCP server that enables AI clients to perform SSH and SFTP operations via stable server_id aliases without exposing passwords, private keys, or passphrases.

Enables natural-language-driven security testing by orchestrating multiple pen-testing tools through MCP, with automated scan execution and AI-assisted vulnerability summarization.

CLI Builder AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.

MCP server that exposes Ansible modules to AI agents with a search-schema-check-execute workflow, enabling safe ad-hoc runs via check mode by default. It provides tools to search modules, fetch schemas, run modules, and list collections.

A beginner-friendly MCP server that enables AI to explore file systems through tools for listing directories, reading files, searching with wildcards, and getting file metadata. Perfect for learning MCP development while providing practical file system interaction capabilities.

High-performance TypeScript MCP server for MikroTik RouterOS management, enabling Claude, GPT-4, or any MCP-compatible AI to manage routers through natural language with dynamic API discovery, VPN management, and configuration backup.