"A scheduling engine powered by AI" matching MCP servers:

Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.

Enables generating falsifiable fleet hypotheses, compiling them into minimal bounded probe plans with control cohorts, and evaluating observations to return supported, refuted, or inconclusive verdicts.

An MCP server providing AI-powered cybersecurity, penetration testing, reconnaissance, vulnerability assessment, and security automation tools through the Model Context Protocol.

MCP server for AI-driven VAPT orchestration, enabling agents to plan and execute authorized security scans through a control plane that enforces scope, sanitization, budget, rate limits, human approval, and audit logging.

Enables red-team and blue-team security workflows on BlackArch Linux by wrapping local tools like nmap, gobuster, nikto, and hydra as MCP tools, with scope-gating that prevents unauthorized scanning against any target not explicitly listed in a local scope.yaml file.

Security Scanner AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI agents to plan and run authorized offensive security assessments across 150+ integrated tools, with full activity logging of every scan.

Autonomous pentests from one command: real security tools, working PoCs, and audit-ready reports, all driven via MCP.

Enables natural-language-driven security testing by orchestrating multiple pen-testing tools through MCP, with automated scan execution and AI-assisted vulnerability summarization.

Autonomous penetration testing powered by a local LLM, automating tool chaining for recon, vulnerability scanning, exploit research, and reporting.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.

An authorization-first MCP-governed control plane for executing security-tool workflows in explicitly approved, sandboxed environments with auditable campaigns and AI collaboration boundaries.

Enables structured robustness and security testing by scanning text for policy/safety issues and generating test suite outlines.

Enables AI assistants to conduct penetration testing and offensive security workflows, including reconnaissance, exploitation, post-exploitation, threat intelligence, malware analysis, forensics, and reporting through MCP tools. It supports session management, C2, evasion, credential attacks, and many specialized security testing capabilities.

Exposes the ghostsoc scan engine over MCP so agents can run the ghostsuite security tools against a target and list which adapters are installed. It returns findings normalized across tools, correlated into attack-path chains with lifted severity and a triage note, as one ranked report.

Turns any MCP-capable AI agent into a professional penetration testing platform with 150+ security tools, adaptive async tasks, and crash-proof concurrency.

Provides AI agents with 25 security analysis tools including vulnerability scanning, package hallucination detection, prompt injection firewall, and CI/CD integration.

Enables AI agents to run bounded security reconnaissance tools against a local OWASP Juice Shop target via MCP, including HTTP checks, header inspection, Nmap scanning, and web enumeration, without granting arbitrary shell access.

Enables remote execution of 150+ offensive-security tools through a streamable-HTTP MCP server, allowing MCP clients like Claude Code to drive the HexStrike toolset over the network.