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    Enables AI coding assistants to scan projects for security issues such as leaked API keys, missing Supabase RLS, open Firebase rules, unauthenticated routes, and hallucinated packages, then fix and verify the results.
    8
    1
    MIT
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    Open behavioral litmus for MCP servers — grades A–F across tool-output injection, egress, sensitive-data, and adversarial-input, with reproducible, content-addressed evidence. Tools: run_litmus, verify_attestation.
    4
    149 npm
    8
    Apache 2.0
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    MCP server integrating Rizin reverse engineering, RzGhidra decompiler, and capa for binary analysis, enabling LLMs to open binaries, identify capabilities, extract function addresses, and decompile to C pseudocode.
    10
    3
    MIT
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    CyberSecurity MCP Server extends Claude with real-time cybersecurity reconnaissance capabilities that Claude doesn't have by default. Instead of manually running 5 different tools across different terminals, just tell Claude "analyze google.com" and get a complete security breakdown instantly. Tools included: * WHOIS Lookup — registrar, ownership, creation/expiry dates * DNS Enumeration — A,
    8
    27
    MIT
  • F
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    Enables read-only interaction with HackerOne, providing tools for searching and analyzing reports, exploring programs and scope, accessing earnings, and retrieving public disclosures.
    25
    -
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    MCP server that exposes 108+ omega-cli OSINT tools for reconnaissance, web analysis, threat intelligence, and reporting, enabling AI assistants to perform comprehensive open-source intelligence tasks.
    MIT
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    Enables AI assistants to drive OWASP ZAP for authorized penetration testing and bug-bounty workflows, including authenticated scans and vulnerability triage through 67 curated safety-gated tools.
    1
    MIT
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    Real security scanners for AI coding agents — SAST (441 rules), secret detection (419+ patterns), dependency CVEs (OSV.dev), MCP/skill vetting, MITRE ATT&CK. Open-source, Rust, free
    7 npm
    Apache 2.0
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    It lets an AI assistant call on a separate configured model for bounded, one-at-a-time adversarial checks — pressure-testing early ideas and claims, tracing failure paths, examining documents for structural weaknesses, exploring abuse paths, and proposing experiments — across planning, product, procedure, technical, and security work. The calling assistant stays in charge, deciding which returned criticisms the supplied material actually supports and discarding the rest.
    MIT
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    Enables AI agents to look up known open-source vulnerabilities in the OSV.dev database, covering individual packages and versions, specific git commits, single vulnerability IDs, and batch SBOM-style dependency scans. Queries are keyless and return compact summaries or full vulnerability details with affected ranges and references.
    17 npm
    MIT
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    Enables AI assistants to autonomously execute over 200 open-source penetration testing tools via MCP, including reconnaissance, web exploitation, and brute-forcing, through a unified server architecture with Docker sandboxing for safe execution.
    55
    MIT
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    maintenance
    Enables AI agents to control and analyze RFID hardware through natural language: read, crack, emulate, and clone cards via MCP tools, with safety gates, offline dump analysis, and a host-side card library.
    MIT
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    Enables AI assistants to perform Volatility 3 memory forensics through natural language, including process and network analysis, injection detection, and shellcode extraction from memory dumps.
    Apache 2.0
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    Enables passive OSINT reconnaissance by providing search dorking and open-source intelligence collection tools through MCP, without requiring active interaction with target systems.
    MIT
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    MCP server for Frida dynamic instrumentation, enabling AI agents to enumerate devices/processes, attach, inject JavaScript, hook functions, read memory, and collect results via MCP tools.
    1
    MIT