cloudpulse for Gemini CLI
io.github.lhf552004/cloudpulse
Cross-cloud observability for AI agents. Covers AWS, GCP, Vercel, and Cloudflare.
client:Gemini CLI
transport:stdio
runtime:npm
Install cloudpulse in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"cloudpulse": {
"command": "npx",
"args": [
"-y",
"cloudpulse-mcp"
],
"env": {
"AWS_ACCESS_KEY_ID": "<AWS_ACCESS_KEY_ID>",
"AWS_SECRET_ACCESS_KEY": "<AWS_SECRET_ACCESS_KEY>",
"AWS_REGION": "<AWS_REGION>",
"VERCEL_TOKEN": "<VERCEL_TOKEN>",
"GOOGLE_APPLICATION_CREDENTIALS": "<GOOGLE_APPLICATION_CREDENTIALS>",
"GOOGLE_CLOUD_PROJECT": "<GOOGLE_CLOUD_PROJECT>",
"CLOUDFLARE_API_TOKEN": "<CLOUDFLARE_API_TOKEN>",
"CLOUDFLARE_ACCOUNT_ID": "<CLOUDFLARE_ACCOUNT_ID>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs