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    Provides AI agents with a hardened code security scanner via scan_code and scan_path, detecting leaked secrets and insecure patterns while enforcing strict path confinement and resource bounds.
    2
    MIT
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    Connects LLMs to BloodHound Enterprise for natural language attack path analysis, Cypher queries, and exploration of Active Directory, Azure/Entra ID, and OpenGraph environments.
    20
    GPL 3.0
  • A
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    AI-powered penetration testing reasoning engine (MCP server) for attack path planning, step scoring, and tool recommendations using Beam Search and Monte Carlo Tree Search.
    1
    1
    MIT
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    Enterprise-grade Azure security assessment toolkit with multi-location scanning, IMDS exploitation, attack path analysis, and compliance reporting. Enables authorized penetration testing and compliance audits across all Azure regions.
    43
    9
    MIT
  • F
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    Enterprise-grade zero-dependency security shield and runtime governance engine for MCP servers, providing OWASP MCP Top 10 audits, cryptographic tool call signing, AIBOM generation, and inline parameter firewall protection.
    3
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    An AI-powered penetration testing reasoning engine that provides automated attack path planning, step-by-step guidance for CTFs/HTB challenges, and tool recommendations using Beam Search and MCTS algorithms.
    1
    MIT
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    The Checkmarx Security MCP server bridges your AI assistant (Claude, Cursor, Copilot, etc.) with Checkmarx One's enterprise application security platform. It exposes security workflows as natural-language-accessible MCP tools, allowing developers to scan code, investigate findings, and receive context-aware fixes without leaving their development environment.
    Apache 2.0
  • F
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    Enables AI assistants to query the Vulners vulnerability database for CVEs, security bulletins, and software package audits through natural language.
    6
  • A
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    Integrates 7 security tools (nmap, nuclei, dirsearch, sqlmap, hydra, Acunetix, Metasploit) via MCP protocol for AI-assisted penetration testing with enterprise-grade safety features.
    1
    MIT
  • A
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    A local Python MCP server for safe, human-led bug bounty recon, providing lightweight helpers for scope checks, headers, robots.txt, sitemap.xml, JavaScript URL collection, endpoint extraction, URL deduplication, evidence notes, and manual test planning.
    MIT
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    quality
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    Enables automated penetration testing workflow planning using Beam Search and Monte Carlo Tree Search algorithms to generate step-by-step attack paths, score vulnerabilities, and recommend tools for reconnaissance, exploitation, and privilege escalation tasks.
    36
    MIT
  • A
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    quality
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    A model-neutral cyber capability brain for AI agents and human researchers, providing MCP tools for knowledge ingestion, composition, campaign planning, fleet management, evidence binding, and discovery replay.
    Apache 2.0
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    quality
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    An enterprise-grade MCP server for AI-powered reverse engineering. Enables AI agents to perform comprehensive binary analysis through natural language commands.
    184
    MIT
  • F
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    Enables adaptive binary 0day research with persistent knowledge graph and adaptive planning, automating vulnerability analysis and exploit development through HexStrike and local tools via MCP.
  • F
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    Enables authorized compliance verification and security auditing through natural language, bridging AI assistants with industry-standard security tools for enterprise audits.
    24