Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Exposes the RSigma Sigma detection-engineering toolkit to AI agents over stdio or Streamable HTTP with rsigma mcp serve. Tools to author, lint, validate, and convert Sigma detection rules, evaluate and explain detections against log events, and inspect correlation state, all backed by a native Rust engine.
vet-mcp checks open source packages—like those suggested by AI coding tools—for vulnerabilities and malicious code. It supports npm and PyPI, and runs locally via Docker or as a standalone binary for fast, automated vetting.
Quality signal
48/100 (Fair)
52/100 (Fair)
Install path
npx · low
Remote · high
Engagement
1 0 0 128
3 0 0 1,096
Tools
Not listed yet
Real-time malicious package detection via SafeDep CloudVulnerability analysis based on dependency usage evidencePolicy-as-code enforcement with CEL expressionsSupports npm, PyPI, Maven, Go, Ruby, Rust, PHP ecosystemsScans container images and SBOMsOutputs actionable reports in multiple formats
