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    An MCP server that scans local codebases for quantum-vulnerable cryptography (secp256k1, Ed25519, RSA, etc.) and CI signing commands, classifying each finding as quantum-broken, post-quantum, or neither. It runs entirely locally with no network calls, providing a deterministic inventory for AI agents.
    2
    Apache 2.0
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    MCP server that exposes 31 OSINT checks from Lissy93/web-check as tools for website analysis, including SSL, DNS, headers, WHOIS, and security presets. Enables natural-language-driven web recon and health checks.
    8
    MIT
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    Enables out-of-band interaction testing by integrating ProjectDiscovery's interactsh service as an MCP server. Allows AI agents to create callback domains, send probes, and capture DNS/HTTP interactions for security testing and verification workflows.
    4
    35
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    MIT
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    Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.
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    MIT
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    Provides MCP clients like Claude with tools to query and manage security scans, CVEs, assets, findings, threat intel, and generate polished reports by acting as a lightweight adapter over the CVEasy backend API.
    2
    MIT
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    Enables AI assistants to execute security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.
    8
    MIT
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    MCP server that securely reviews AI-generated code for vulnerabilities such as SQL injection, command injection, and hardcoded credentials.
    11
    Apache 2.0
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    Enables AI-assisted penetration testing by connecting MCP clients to execute terminal commands on a Kali Linux machine, supporting tools like Nmap, Metasploit, and custom commands.
    MIT
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    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.
    2
    Apache 2.0
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    An MCP server that acts as a boundary agent, giving LLMs and automation systems controlled SSH-based access to remote machines for tasks like administration, diagnostics, and security research.
    Apache 2.0
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    Automatically generates pocsuite3-compliant POC (Proof of Concept) code from vulnerability information, with built-in safety features to prevent harmful payloads and ensure secure security testing.
    3
    MIT
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    Enables authorized security testing by letting LLM clients run Kali Linux tools inside an isolated Docker container.
    MIT