Synthetic Uptime & SLAs Built for AI Coding Agents
Equip Claude, Gemini, Cursor, and developer teams with automated synthetic probes, dead-man switch heartbeats, and white-labeled status pages. 100% Serverless on AWS.
Test Any Website or API Endpoint Live
Everything Your AI Agent Needs to Monitor Cloud Workloads
Model Context Protocol (MCP)
Seamlessly interact with Claude, Gemini, Cursor, or AutoGPT via Stdio and SSE. Provision checks with simple agent tool calls.
Dead-Man Heartbeats
Monitor background agent tasks, cron jobs, and batch queues with unique ping tokens and configurable grace periods.
Branded Status Pages
Publish white-labeled status pages with custom domains, 90-day history bars, incident timelines, and RSS feeds.
1-Click Model Context Protocol (MCP) SetupClaude Desktop & Gemini Ready
Add Seseli to your AI Agent or Cursor / Claude Desktop environment in seconds.
{
"mcpServers": {
"seseli": {
"command": "npx",
"args": [
"-y",
"@seseli/mcp-server"
],
"env": {
"SESELI_API_KEY": "ssl_live_YOUR_API_TOKEN_HERE"
}
}
}
}npx -y @seseli/mcp-server- Deploy and verify synthetic monitors right after generating backend code.
- Inspect latency SLA breaches and automatically post incident status updates.
- Set up dead-man switches for autonomous background jobs and scheduled tasks.
- Query live 90-day uptime and SSL certificates for compliance audits.
Interactive MCP Tool Execution Simulator
Simulate how Claude, Gemini, or autonomous agents execute Seseli MCP JSON-RPC tool calls.
100% Usage-Based, Scale-to-Zero Cloud Native Engine
Built on Amazon DynamoDB (Single-Table), AWS Lambda ARM64 Graviton2, CloudFront OAC, and KMS Customer Managed Keys.