Supports incident response investigations in AWS environments for AI agents.
Setup
Choose your client, copy the config, then fill in any required environment variables.
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>"
}
}
}
}Environment variables
AWS_PROFILE
Replace the placeholders with your own credentials and keep them out of version control.