WaveGuard by gpartin
23 score
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.
Ranked #1811 out of 1941 indexed skills.
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Installs 0
Freshness GitHub not linked
Issue Health GitHub not linked
Stars GitHub not linked
Platform Breadth 1 platform
Contributors GitHub not linked
Description Detailed
How to Improve
Platforms medium impact