Lets AI assistants query and manage resources in your AWS environment in natural language.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add aws-rafalwilinski -- npm --silent --prefix '/Users/<YOUR USERNAME>/aws-mcp' start~/.codex/config.toml
[mcp_servers.aws-rafalwilinski]
command = "npm"
args = ["--silent", "--prefix", "/Users/<YOUR USERNAME>/aws-mcp", "start"]
# codex mcp add aws-rafalwilinski -- npm --silent --prefix '/Users/<YOUR USERNAME>/aws-mcp' start~/.cursor/mcp.json
{
"mcpServers": {
"aws-rafalwilinski": {
"command": "npm",
"args": [
"--silent",
"--prefix",
"/Users/<YOUR USERNAME>/aws-mcp",
"start"
]
}
}
}.vscode/mcp.json
{
"servers": {
"aws-rafalwilinski": {
"type": "stdio",
"command": "npm",
"args": [
"--silent",
"--prefix",
"/Users/<YOUR USERNAME>/aws-mcp",
"start"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"aws-rafalwilinski": {
"command": "npm",
"args": [
"--silent",
"--prefix",
"/Users/<YOUR USERNAME>/aws-mcp",
"start"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"aws-rafalwilinski": {
"command": "npm",
"args": [
"--silent",
"--prefix",
"/Users/<YOUR USERNAME>/aws-mcp",
"start"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"aws-rafalwilinski": {
"command": "npm",
"args": [
"--silent",
"--prefix",
"/Users/<YOUR USERNAME>/aws-mcp",
"start"
]
}
}
}