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Run security scans and web testing tools through natural language prompts
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PrismSec" yet — see the docs or source repo.
Use PrismSec to run a port scan on 192.168.1.10 and list the open services by port.
A list of open ports, detected services, and a brief scan summary.
Use PrismSec on https://example.com to run a vulnerability scan and enumerate common directories and paths.
Potential vulnerabilities, accessible directories, and related risk notes.
Use PrismSec to find subdomains for example.com and probe which ones are reachable over HTTP/HTTPS.
A list of subdomains, live status, and web probing results.
Developers or DevOps engineers can trigger port scans, directory enumeration, and web probing in natural language to quickly understand a target's exposed surface. It is useful for preliminary checks before manual review.
Security researchers can combine subdomain discovery, vulnerability scanning, and HTTP probing to quickly map web assets and potential issues. This helps prioritize targets for deeper validation.
When a team wants AI agents to directly run common security tools, this MCP server provides a unified wrapper. It packages multiple industry-standard tools into MCP tools callable through natural language.
PrismSec is a secure, modular MCP server. It wraps seven security tools—nmap, nuclei, gobuster, subfinder, httpx, nikto, and sqlmap—into thirteen MCP tools for AI agents.
Based on the provided description, it supports port scanning, vulnerability scanning, directory enumeration, subdomain discovery, web probing, and SQL injection testing. These capabilities can be triggered through natural language.
The provided material does not specify installation steps, runtime requirements, or key requirements. For prerequisites and deployment details, see the source repository.
Integrate multiple security tools for AI-assisted pentesting and vulnerability validation.
Run standardized security scans and reports for authorized assessments.
Run natural-language penetration tests with automated scans and AI vulnerability summaries.
Use AI search, browser automation, and Kali tools for security reconnaissance.
Run MCP-based pentests, OWASP Top 10 probes, and vulnerability verification.
Scan local file systems for vulnerabilities and leaked secrets using Trivy and Gitleaks.