gpartin/WaveGuardClient

Physics-based anomaly detection via MCP. Uses Klein-Gordon wave equations on GPU to detect anomalies with high precision (avg 0.90). 9 tools: scan, fingerprint, compare, token risk, wallet profiling, volume check, price manipulation detection.

Quality score 40/100

View on GitHub →

Stars

★ 4

Last commit

3mo ago

Language

Python

Install

Python (uvx / pip)

Installation

Example client config (verify package name in the repo README)

{
  "mcpServers": {
    "WaveGuardClient": {
      "command": "uvx",
      "args": ["WaveGuardClient"]
    }
  }
}

Topics

anomaly-detection azure-migration gpu machine-learning mcp-server python sdk

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