"Understanding AWS EC2 Pricing" matching MCP servers:

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.

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.

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.

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.

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.

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

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

Maps shell commands to standard MCP tools using single-file YAML specs.

Enables remote management of TR-069 ACS (Auto Configuration Server) via SSH, including device management, configuration deployment, script execution, and server lifecycle control.

Enables AI agents to execute read-only DevOps operations including kubectl, terraform, helm, docker, and AWS cost analysis through natural language.

A local-first tool to check public ECZ-ID Resolver posture, classify targets, and report deterministic results with routing.

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

Wraps multiple cloud CLIs (AWS, GCP, Azure, OCI) into a unified command interface and exposes them as MCP tools for AI assistants.

Automates AWS EBS volume initialization via AWS Systems Manager, supporting multi-instance parallel execution and real-time progress tracking.

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.

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.

Complete Google Ads API v21 MCP server with 40+ fully implemented tools for campaign, ad group, keyword, extension, and portfolio bidding management, enabling AI assistants to create, optimize, and manage Google Ads campaigns through natural language commands.

A collection of MCP servers for Kali Linux that empower AI Agents in reverse engineering and security testing, providing network analysis, target sniffing, traffic analysis, binary understanding, and automation capabilities.

Delegates coding tasks to the local Claude Code CLI via MCP, offering run, review, and status tools for MCP-compatible agents.

Unified MCP server for managing cloud resources across AWS, Google Cloud, Azure, and DigitalOcean by wrapping their CLI tools.