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Scan external endpoints for AI agents and return zero-trust security decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ShieldNet MCP" yet — see the docs or source repo.
Scan this external API endpoint https://api.example.com and return ALLOW, WARN, or BLOCK based on a zero-trust policy. Include certificate details, redirects, known risks, and other findings.
A scan report with the decision, risk level, and detailed security findings.
My AI workflow needs to access the following URLs. Scan each one and output a table with URL, decision, key risks, and whether access is recommended. URLs: https://service1.example.com, https://service2.example.com, https://service3.example.com.
A multi-endpoint assessment table showing which connections should be allowed or blocked.
This endpoint was blocked by policy: https://suspicious.example.com. Rescan it, explain the exact reasons for BLOCK or WARN, rank them by severity, and provide actionable remediation steps.
A troubleshooting-focused analysis explaining the block reasons, risk priority, and remediation advice.
Scan MCP servers and AI tools for risks with scoring and auto-protection.
Scan text and URLs for prompt injection risks in AI agents.
Scan MCP servers for common security risks and assign A-F grades.
Securely create isolated test branches for AI agents without exposing production secrets.
Scan AI agents, MCP servers, and skills for security risks.
Continuously scan and monitor MCP operations for agent-tool security risks.