HookWatch — Unified Monitoring for Webhooks, Crons & MCP

Hey EarlyHunt! 👋

I'm building HookWatch — a unified monitoring platform for the invisible infrastructure modern apps depend on: webhooks, cron jobs, WebSocket connections, and AI agent tool calls.

The problem:

These systems fail silently. A Stripe payment webhook gets lost. A nightly backup script stops running. A WebSocket connection drops mid-session. An AI agent starts erroring out on every third request. And nobody knows until a customer complains or data is already gone.

There's no error page. No stack trace. Just silence. I've been on the receiving end of that support ticket too many times — scrambling to figure out what broke and when. So I'm building HookWatch to make these failures visible before they become incidents.

What it does:

HookWatch bundles four monitoring tools under one roof:

🔗 Webhook Monitor — Track every incoming webhook in real-time. Inspect full payloads, replay failed deliveries with one click, and get automatic retries with exponential backoff. Unique feature: request buffering stores incoming webhooks when your server goes down and replays them when you're back online. Zero data loss.

⏰ Cron Monitor — Schedule and monitor cron jobs with human-readable syntax. Write "every day at 2am" instead of decoding 0 2 * * *. Get full execution history with stdout and stderr output, automatic retries, and instant alerts when something breaks. The CLI runs jobs locally with optional cloud sync — it works 100% offline.

🌐 WebSocket Monitor — A transparent proxy for your WebSocket connections. Point your client to a HookWatch proxy URL instead of the original server — we forward everything while capturing every message in both directions. See live connections, inspect payloads, filter by direction, and review complete message history. No code changes required.

🤖 MCP Proxy — Observability for AI agent tool calls. Monitor every MCP request and response, track latency percentiles (p50/p95/p99), and get alerts when your agents hit errors. If you're building with Claude, GPT, or other LLMs, this gives you the visibility you've been missing.

What makes it different:

• Four tools, one dashboard. Competitors focus on one category. We bundle them.

• Local-first CLI. Forward webhooks to localhost, run cron jobs locally, get JSON output for scripting. Not just a web UI.

• Transparent proxying. For webhooks (request buffering) and WebSockets (bidirectional capture). Zero code changes.

• AI-native from day one. MCP observability is built in, not bolted on.

Where I'm at:

The core platform is live and functional. I'm looking for early adopters who deal with webhook reliability, cron monitoring, or AI agent observability daily — people who can put it through real workloads and help shape what comes next.

Which of the four tools would you reach for first? What integrations matter most? Drop a comment — I'm reading everything and building fast. 🚀