MCPs › Data & APIs › WaveGuard
An MCP server that exposes GPU-accelerated anomaly detection to AI assistants via the Model Context Protocol. Provides two MCP tools: waveguard_scan (send training + test data in one call, returns per-sample anomaly scores and top explanatory features) and waveguard_health (check API and GPU status). Works on time series, JSON, numbers, text, and images — fully stateless.
Not monetized yet
Turn WaveGuard’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
Install WaveGuard
For anyone using WaveGuard — no Lulu account needed# stdio server — install per the repository README: https://github.com/gpartin/waveguardclient
9 field-tested tactics as a designed playbook plus skills your coding agent can run. Free.
Get the Kit →FAQ
WaveGuard installs from source — follow the repository README.
Unrated out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
Similar servers
Works well together
Your server?
This is for the person who owns WaveGuard — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
Copies a ready prompt: your coding agent installs the lulu-ads SDK, wires the slot, and applies the widget design guide.
or set up manually at getlulu.dev/publishers
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Managed hosting with monetization built in — waitlist.
[](https://getlulu.dev/mcps/waveguard-c2790a)