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cloud-mcp-server
A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.
182stars
32forks
Python
ai-assistantawsaws-automationclaudecloud-infrastructuredevopsdockermcpmcp-servermodelcontextprotocol
Quality signals
StaleNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
A lightweight server that lets AI assistants safely run AWS CLI commands inside containers via the Model Context Protocol.
Use this when
- Debugging AWS issues with an AI assistant
- Automating cloud tasks via natural language prompts
- Generating AWS CLI commands from AI-generated plans
- Testing infrastructure changes in isolated containers
- Managing AWS resources without manual CLI access
Don't use when
- Need direct AWS console access
- Handling sensitive production data without isolation
- Running non-AWS CLI commands
Capabilities
- Executes AWS CLI commands in isolated containers
- Integrates with MCP-aware AI tools (Claude, Cursor)
- Prevents direct AWS account exposure
- Supports safe command execution for AI assistants
- Lightweight service with minimal overhead
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest alexei-led/cloud-mcp-serverAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx cloud-mcp-server
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"cloud-mcp-server": {
"command": "uvx",
"args": [
"cloud-mcp-server"
]
}
}
}Loading README…
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