🌟 amazon-q-cli is great, and it is great because it has `use_aws` MCP tool to interact with AWS API.
If you want an AI assistant working directly with Use Aws MCP, the use aws mcp mcp server is the bridge. 🌟 amazon-q-cli is great, and it is great because it has use_aws MCP tool to interact with AWS API.
🌟 amazon-q-cli is great, and it is great because it has use_aws MCP tool to interact with AWS API.
Once connected, the assistant can call this tool directly:
Examples — The Examples tool exposed by this serverSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Cloud and DevOps servers put infrastructure on speaking terms with your assistant, so "why is this broken?" is answered from real state rather than a generic checklist. Use Aws MCP sits in that group, and the shape of its toolset — Examples — tells you what it is really for. Worth comparing against the other cloud devops servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Examples | The Examples tool exposed by this server. |
Then configure your MCP client with:
```json
{
"mcpServers": {
"use_aws_mcp": {
"name": "use_aws_mcp",
"command": "use_aws_mcp",
"timeout": 300,
"env": {},
"disabled": false
}
}
}Configuration as documented by the project. Restart the client after saving.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
AWS Labs' official server suite — current AWS docs, CDK guidance, cost analysis and service tools.
Cloud browsers for AI agents — automation sessions that run in Browserbase's fleet, not on your machine.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.