Connect Loggy to your AI coding assistant via MCP. Create heartbeats, manage status pages, and configure monitoring—all without leaving your editor.
I'll create that heartbeat for you.
Ping URL: https://loggy.dev/api/heartbeats/ping/backup-job
Three simple steps to connect your AI assistant to Loggy
Go to Settings → API Tokens and create a token with the permissions you need.
Add the Loggy MCP server to your AI assistant's configuration with your token.
Ask your AI assistant to create heartbeats, status pages, and more.
Add this to your MCP configuration
{
"mcpServers": {
"loggy": {
"command": "npx",
"args": ["@loggydev/mcp-server"],
"env": {
"LOGGY_API_TOKEN": "lgky_your_token_here"
}
}
}
}Your AI assistant becomes a full DevOps partner
Create and manage heartbeat monitors for cron jobs and scheduled tasks.
Create public status pages and update them during incidents.
Set up URL monitoring for your endpoints and APIs.
Create and toggle feature flags, manage rollouts.
Try these with your AI assistant
"Create a heartbeat called 'daily-backup' that expects a ping every 24 hours with a 1-hour grace period"
"Set up an uptime monitor for api.myapp.com/health that checks every 5 minutes"
"Create a feature flag called 'new-dashboard' and enable it for 25% of users"
"Add the production API monitor to our public status page"
"Show me the last 10 error logs from the payment-service project"
API tokens and MCP integration are available on the Team plan.