Canopii MCP Trust Index vs Sinewave Agent Security Scanner

Detailed side-by-side comparison to help you choose the right tool

Canopii MCP Trust Index

🟡Low Code

security

A continuously scanned, security-scored registry of 16,000+ MCP servers, grading each version for tool poisoning, prompt injection, supply-chain, and credential risk.

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Starting Price

Custom

Sinewave Agent Security Scanner

🔴Developer

security

An open-source, MIT-licensed security scanner — "npm audit for AI agents and MCP servers" — that audits code, MCP tools, prompts, skills, and AI-suggested dependencies over MCP or CLI.

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Starting Price

Custom

Feature Comparison

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FeatureCanopii MCP Trust IndexSinewave Agent Security Scanner
Categorysecuritysecurity
Pricing Plans6 tiers6 tiers
Starting Price
Key Features

      Canopii MCP Trust Index - Pros & Cons

      Pros

      • Purpose-built for MCP-specific threats (tool poisoning, prompt injection) — not generic SCA
      • Per-version scoring closes the door on silent-update rug pulls
      • Public index is free to browse with full methodology disclosed
      • API enables CI gates and procurement automation, not just human lookup
      • Live endpoint verification separates real servers from squatted names

      Cons

      • Enterprise/API pricing is 'by request' — no self-serve tiers published
      • ~3,500 servers remain unverifiable at last snapshot
      • Scoring rubric is proprietary — reproducibility depends on Canopii's methodology page
      • Coverage is best-effort; brand-new servers may not yet be scored
      • Not a runtime guard — you still need policy enforcement in your agent host

      Sinewave Agent Security Scanner - Pros & Cons

      Pros

      • MIT-licensed and fully open source — no vendor gating on higher-value features
      • MCP-first design lets the coding agent scan its own output without a human in the loop
      • Purpose-built for agent-specific failure modes: prompt injection, hallucinated packages, tool spoofing
      • Claimed 97.7% benchmark precision, with 120 auto-fix templates to close the loop from detection to remediation
      • Lightweight @prooflayer variant is a viable pre-commit or CI check when the full scanner is too heavy

      Cons

      • Precision claim (97.7%) is self-reported on the vendor's own benchmark, not an independent evaluation
      • Full scanner requires Python plus the AST toolchain — heavier install than a pure JS pre-commit hook
      • Auto-fixes are template-based; complex vulnerabilities may need human review after the rewrite
      • Rule coverage is language-broad but you should still verify depth for your specific stack
      • MCP server auditing scores are only as good as the point-in-time snapshot — a compliant server can still rug-pull on a later run

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