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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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    A read-only MCP server for the Qualys PCI Merchant API that lets LLM assistants answer questions about PCI compliance posture, such as which hosts are failing PCI or listing high findings.
    7
    Apache 2.0
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    A Model Context Protocol (MCP) server for Gobuster that enables AI assistants to perform directory/file, DNS, virtual host, S3 bucket, and TFTP enumeration on a remote Kali Linux host via SSH.
    10
    MIT
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    An MCP server for identifying SQL injection vulnerabilities in web applications using various techniques like error-based, time-based, and union-based scanning. It supports bulk URL processing, WAF bypass strategies, and authenticated testing across multiple database systems.
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    Enables structured HTTP request creation and local file ingestion for LLM integration with Burp Suite, reducing malformed requests and token costs.
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    MIT
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    Talk to your Flipper Zero from Claude Code — or any MCP client. Storage, app deployment, screen capture, button automation, JavaScript execution on the device, and honest answers about what is nearby.
    66
    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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    Enables deterministic security testing of AI agents that use tools by serving synthetic MCP environments with poisoned data, fake secrets, and privileged actions. Records agent tool calls and evaluates security invariants (e.g., canary leaks, forbidden access, approval binding) without an LLM judge or real systems.
    8
    MIT
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    A Model Context Protocol server for the Sliver C2 framework that exposes operator tools like listeners, implant generation, sessions, command execution, and file operations for LLM-driven adversary emulation.
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    1
    MIT
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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.
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    MIT
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    Enables AI agents to generate and manage specialized bug bounty hunting workflows including reconnaissance, vulnerability testing, OSINT gathering, and file upload testing. Provides REST API endpoints for comprehensive security assessments with intelligence-driven vulnerability prioritization.
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    MIT