Problem

AI agents (Claude, GPT, Gemini) use external tools via MCP servers, plugins, and skills, but there’s no way to verify their security:

  • RankClaw’s audit found 1,103 malicious skills out of 14,706 OpenClaw skills (7.5%)
  • MCP servers directly access file systems, databases, and APIs with no security verification framework
  • AI agent supply chain attacks are an emerging real-world threat
  • Existing tools are open-source scanners only — no paid SaaS service exists

Pain Intensity: 8/10 - Security gap widening alongside MCP adoption surge

Market

  • Primary Market: Global enterprises and dev teams using AI agents
  • Segment: Development organizations using MCP servers, companies adopting AI tools
  • TAM: AI cybersecurity $25B (2024) → $94B (2030), CAGR 24%+
  • Key Fact: MCP adoption surging (Claude, Cursor, Gemini CLI, Windsurf) — zero paid SaaS

Solution

AI Agent Skill Auditor - MCP server/plugin security audit SaaS

Core Features

  1. Auto-Scan MCP Servers: Analyze permissions, data access, and code execution patterns
  2. Trust Score: Visualize security level with A-F grades
  3. CI/CD Pipeline Integration: Automatically block deployment of insecure servers
  4. Organization Dashboard: View company-wide MCP server security posture at a glance
  5. Static + Runtime Analysis: Combined AST analysis and sandbox runtime verification

Usage Scenario

# Install
$ npm install -g skillaudit

# Scan MCP servers
$ skillaudit scan ./mcp-servers/

  🔍 Scanning 3 MCP servers...

  ┌──────────────────────────────────────────────────┐
  │  📦 filesystem-server v1.2.0                     │
  │  Trust Score: A (92/100)                         │
  │  ✅ Permission scope appropriate                 │
  │  ✅ No data exfiltration patterns                │
  │  ⚠️  Write permission enabled — review suggested  │
  ├──────────────────────────────────────────────────┤
  │  📦 database-query-server v0.8.3                 │
  │  Trust Score: B (78/100)                         │
  │  ✅ Read-only queries enforced                   │
  │  ⚠️  1 SQL injection pattern detected            │
  │  ⚠️  2 dependency vulnerabilities                │
  ├──────────────────────────────────────────────────┤
  │  📦 unknown-tool-server v0.1.0                   │
  │  Trust Score: F (15/100) ❌                       │
  │  🚨 Arbitrary code execution possible            │
  │  🚨 Data exfiltration to external server         │
  │  🚨 Obfuscated code detected                     │
  └──────────────────────────────────────────────────┘

  Result: 2 passed, 1 blocked (Trust Score F)

# CI/CD integration (GitHub Actions)
$ skillaudit ci --fail-below B --report github

# Organization-wide scan
$ skillaudit org-scan --dashboard https://audit.mycompany.com

Competition

CompetitorPriceWeakness
Snyk Agent-ScanFree + EnterpriseScan-only, no runtime guardrails
Invariant MCP-ScanOSS (acquired by Snyk)Uncertain standalone future
Cisco MCP ScannerOSSVulnerability classes only, no guardrails/policies
Enkrypt AI MCP ScanUndisclosedLimited community validation, newcomer
McpwnOSSTesting-only, not production monitoring

Competition Intensity: Medium - Snyk entering but no paid SaaS exists Differentiation: Only paid SaaS + CI/CD native integration + org dashboard

MVP Development

  • MVP Timeline: 5 weeks
  • Full Version: 5 months
  • Tech Complexity: Medium
  • Stack: Node.js, AST parsing, Docker sandbox, React dashboard

MVP Scope

  1. MCP server static analyzer (permissions/data access patterns)
  2. Trust Score algorithm
  3. CLI scanner (npm distribution)
  4. GitHub Action integration

Revenue Model

  • Model: Subscription + Usage
  • Pricing:
    • Free: 5 scans/month
    • Pro: $19/mo (unlimited scans, CI/CD integration, alerts)
    • Team: $49/mo (org dashboard, policy management, audit logs)
    • Enterprise: $199/mo (dedicated instance, compliance reports)
  • Expected MRR (6 months): $2,000-8,000
  • Expected MRR (12 months): $10,000-30,000

Risk

TypeLevelMitigation
TechnicalMediumAST/runtime analysis accuracy needed → incremental rule expansion
MarketMediumSnyk may expand → differentiate with CI/CD native + speed
ExecutionMediumSecurity domain expertise needed → collaborate with OSS security community

Recommendation

Score: 92/100 ⭐⭐⭐⭐⭐

  1. Massive $94B AI security market with rapid growth
  2. Zero paid SaaS competitors — first-mover opportunity
  3. MCP adoption surge guarantees demand
  4. Security = recurring subscription revenue (low churn)
  5. Perfect monitoring/dev_tools domain fit

Risk Factors

  1. Snyk may expand Agent-Scan into a SaaS product
  2. Analysis accuracy (false positives/negatives) directly impacts trust
  3. Continuous adaptation to MCP standard changes required

First Actions

  1. Build MCP server static analyzer prototype
  2. Design and validate Trust Score algorithm
  3. GitHub Action CI/CD integration MVP

This idea is inspired by RankClaw’s AI skill auditing concept, addressing the MCP server ecosystem’s security gap as a paid SaaS.