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MCP Security Scanner & Vulnerability Auditor | Zero-Trust AI Agent Shield

MCP serverSecurity

Static AST security scanner detecting command injection, leaked secrets, and SSRF in MCP tools.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use MCP Security Scanner & Vulnerability Auditor | Zero-Trust AI Agent Shield

From the project's README

As published by Ansarii/mcp-security-auditor in README.md.

Run directly on Apify Cloud: MCP Security Auditor
👉 Companion Open-Source Repo: github.com/Ansarii/mcp-security-auditor

Giving an autonomous AI agent access to a third-party Model Context Protocol (MCP) server provides enormous productivity—and severe security risk. Vulnerable MCP tools expose agent runtimes to remote code execution (RCE), arbitrary file exfiltration, and prompt injection attacks.

This Actor is a zero-execution static AST security scanner for MCP servers. Before connecting any public or private server to Claude Desktop, Cursor IDE, or an enterprise agent fleet, scan it here to obtain a verified Trust Score (0–100), Letter Grade, and line-by-line CWE remediation plan.


🛡️ Why Use This Actor?

Following 30+ CVE disclosures against community MCP servers in 2025 and 2026, enterprise security standards strictly prohibit connecting unverified servers to developer environments or corporate databases.

Unlike dangerous runtime scanners that execute arbitrary stdio binaries (creating direct RCE risks on the scanning host), this Actor uses pure static Abstract Syntax Tree (AST) analysis. It inspects Python, TypeScript, and JSON-RPC implementations without ever executing untrusted code.


🌍 Global Enterprise & Regional Compliance (GEO Targeting)

🇺🇸 North America (Silicon Valley, New York, Seattle, Austin)

  • SOC 2 Type II Compliance: Satisfies CC6.6 and CC6.8 controls by maintaining an immutable static audit log before onboarding third-party agent tools.
  • Enterprise Secret Shield: Discovers hardcoded AWS keys (AKIA...), OpenAI API keys, and corporate service credentials buried in tool repos.

🇪🇺 Europe & 🇬🇧 United Kingdom (London, Berlin, Paris, Amsterdam)

  • EU AI Act Article 15 (Cybersecurity & Resilience): Generates the mandatory risk assessment documentation and static vulnerability reports required for enterprise AI software.
  • GDPR Article 32 (Security of Processing): Ensures MCP servers connecting to European customer data do not expose unauthorized file system read/write primitives.

🌏 Asia-Pacific & 🇮🇳 India (Singapore, Tokyo, Sydney, Bengaluru, Hyderabad)

  • Offshore Development Quality Gate: Audits tools developed by third-party contractors before deployment to production agent clusters.
  • Cross-Border Security Verification: Guarantees external MCP tools do not transmit internal environment variables or telemetry to untrusted third-party hosts.

🔍 Vulnerability Checks Covered

Rule IDSeverityCWEVulnerability CategoryDescription & Impact
MCP-SEC-001CRITICALCWE-78Command InjectionDetects subprocess.run(shell=True), os.system(), and unsanitized string formatting passed to shell interpreters.
MCP-SEC-002HIGHCWE-22Path Traversal / Arbitrary File AccessDetects file tools lacking strict path canonicalization (Path.is_relative_to()), ZipSlip/TarSlip vulnerabilities, and unbounded directory crawls.
MCP-SEC-003CRITICALCWE-798Hardcoded Secrets & API KeysIdentifies leaked OpenAI, Anthropic, AWS, GitHub, Stripe, and Slack tokens, and flags tools exporting raw os.environ.
MCP-SEC-004HIGHCWE-306Unauthenticated Remote TransportFlags SSE or HTTP servers binding to 0.0.0.0 without bearer tokens or mutual TLS authentication.
MCP-SEC-005HIGHCWE-1384Tool Poisoning & Prompt InjectionFlags adversarial instructions, hidden unicode homoglyphs, and jailbreaks embedded inside tool docstrings or schemas.

📥 Input Configuration

{
  "repositoryUrls": [
    "https://github.com/modelcontextprotocol/servers"
  ],
  "subDirectories": [
    "src/everything",
    "src/fetch"
  ],
  "minimumPassScore": 80
}
  • repositoryUrls (Required, Array): List of public Git URLs for the MCP server repositories to audit.
  • subDirectories (Optional, Array): Specific subdirectories to audit individually (ideal for monorepos).
  • minimumPassScore (Optional, Integer, Default: 80): The minimum score (0–100) required to achieve a passing audit grade.

📤 Output & Audit Artifacts

1. Structured Dataset Records

Each audited server produces a structured JSON record containing:

  • trust_score: Score from 0 to 100.
  • grade: Security letter grade (A+, A, B, C, F).
  • passed: Boolean indicating whether the score meets minimumPassScore.
  • findings: Array of detailed findings with file paths, line numbers, CWE IDs, code snippets, and remediation steps.

2. Downloadable Markdown Report

The full human-readable audit report is saved to the run's default Key-Value store under OUTPUT_REPORT.md.


🌐 Free Online Interactive Scanner

Test single repositories in real time using our free interactive tool: https://neoninnovationlab.com/tools/mcp-security-scanner

Advanced
Delivery
mcp-security-auditor MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
io-github-ansarii-mcp-security-auditor
Source
github.com/Ansarii/mcp-security-auditor
Hosted endpoint
https://neon_innovation_lab--mcp-security-auditor.apify.actor/mcp