Cyber Lens AI MCP Server
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Alternatives to Cyber Lens AI MCP Server
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- FlicenseNot gradedqualityDmaintenanceScans OpenClaw/ClawHub skills for security vulnerabilities before installation. Detects prompt injection, data exfiltration, credential theft and RCE risks. Autonomous AI-to-AI flow with zero human intervention required.-

AgentVerus MCP Serverofficial
AlicenseNot gradedqualityDmaintenanceSecurity scanning for AI agent skills exposed as MCP tools, enabling skill analysis from ClawHub, GitHub, skills.sh, or raw URLs.5 npmMIT- AlicenseAqualityDmaintenanceEnables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.183MIT

AgentAuditofficial
AlicenseAqualityDmaintenanceEnables AI agents to scan MCP servers and AI packages for vulnerabilities, prompt injection, and supply chain attacks.78 npmAGPL 3.0- AlicenseNot gradedqualityDmaintenanceSecurity scanner for AI agent skills, providing tools to scan skill files for threats such as credential theft and prompt injection.MIT
- AlicenseAqualityBmaintenanceVet ClawHub skills before installing them; detects prompt-injection, exfiltration, and other security issues, outputting a risk score with per-finding evidence.7MIT
TDQS
Scored across 10 tools
Most tools have distinct purposes, but scan_claw_skill and validate_claw_skill both target CLAW skill security and enumerate overlapping checks, making them easy to confuse. scan_website and get_security_score also overlap somewhat since both perform website scanning and return a security rating, though the descriptions do clarify the difference between full findings and a quick score.
All tool names follow a consistent snake_case verb_noun pattern: scan_<target> for scanning tools, get_<thing> for retrieval tools, plus connect_account and validate_claw_skill. There are no mixed naming conventions or vague verbs.
Ten tools is well-scoped for a security scanning server covering website, repository, and skill scanning along with account management, quota, results, remediation, and transparency. Each tool has a recognizable role and the set does not feel bloated.
The core scanning lifecycle is covered: account connection, quota checks, initiating scans for websites/repos/skills, retrieving results, getting remediation guidance, and inspecting server transparency. Minor gaps exist, such as no scan history or explicit scan-status polling, but the main workflows are complete enough for agents.