Supports incident response investigations in AWS environments for AI agents.
接入配置
选择客户端,复制配置,再按项目文档补齐环境变量。
claude mcp add aws-ireveal --env AWS_PROFILE='<AWS_PROFILE>' -- uv run /path/to/aws-ireveal-mcp/server.py~/.codex/config.toml
[mcp_servers.aws-ireveal]
command = "uv"
args = ["run", "/path/to/aws-ireveal-mcp/server.py"]
env = { AWS_PROFILE = "<AWS_PROFILE>" }
# codex mcp add aws-ireveal --env AWS_PROFILE='<AWS_PROFILE>' -- uv run /path/to/aws-ireveal-mcp/server.py~/.cursor/mcp.json
{
"mcpServers": {
"aws-ireveal": {
"command": "uv",
"args": [
"run",
"/path/to/aws-ireveal-mcp/server.py"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"aws-ireveal": {
"type": "stdio",
"command": "uv",
"args": [
"run",
"/path/to/aws-ireveal-mcp/server.py"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"aws-ireveal": {
"command": "uv",
"args": [
"run",
"/path/to/aws-ireveal-mcp/server.py"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"aws-ireveal": {
"command": "uv",
"args": [
"run",
"/path/to/aws-ireveal-mcp/server.py"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"aws-ireveal": {
"command": "uv",
"args": [
"run",
"/path/to/aws-ireveal-mcp/server.py"
],
"env": {
"AWS_PROFILE": "<AWS_PROFILE>"
}
}
}
}需要的环境变量
AWS_PROFILE
把占位值换成你自己的密钥;不要把密钥提交到代码仓库。