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  • F
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to natively execute and manage 600+ Kali Linux security, penetration testing, and forensic tools, including search, help documentation, structured scanners, and workspace management.
    8
    1
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server that detects and guards against tool poisoning and prompt injection attacks in tool descriptions and schemas. It provides risk scoring, pattern detection, safe rewriting, and audit reports with zero external API cost.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    GDB Enhanced Features MCP server for remote debugging and CTF exploitation with 41 specialized tools including ROP search, format-string detection, and memory patching.
    11
    -
  • F
    license
    B
    quality
    C
    maintenance
    Enables LLMs to perform automated penetration testing and Active Directory reconnaissance through Mythic, with tools for executing PowerShell, AD recon, domain user enumeration, and Kerberoasting.
    12
    1
    -
  • A
    license
    A
    quality
    A
    maintenance
    MCP security firewall (stdio): vet advertised tool definitions through static-scan → threat-feed → origin → pinning before they reach the model. Zero npm runtime deps. No secrets.
    6
    808 npm
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.
    1
    8 npm
    2
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    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
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI agents to perform fast, offline full-text search and section-level retrieval over the HackTricks offensive-security wiki, including ranked snippets, page/section extraction, code-only payloads, and category navigation.
    3
    100 npm
    2
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Self-hosted MCP engine for private code reviews, providing deterministic static analysis and AST-level search over diffs, with findings passed to a review agent of your choice.
    5
    2
    AGPL 3.0
  • F
    license
    A
    quality
    C
    maintenance
    Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.
    1
    -
  • A
    license
    A
    quality
    C
    maintenance
    Gives AI agents threat-intelligence verdicts for IPs, domains, URLs and hashes, CVE lookups with EPSS and CISA KEV data, and a prompt-injection gate that scans untrusted text before the agent acts on it. Agents can also batch-check up to 100 indicators, hunt brand-lookalike domains, and track scan and request quotas.
    1
    89 npm
    MIT
  • A
    license
    A
    quality
    F
    maintenance
    Provides Claude Code with access to a comprehensive bug bounty knowledge base including techniques, payloads, wordlists, and real-world reports through 14 tools for searching, retrieving payloads, and assessing report quality.
    14
    21
    GPL 3.0
  • A
    license
    A
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server for interacting with the Intigriti bug bounty platform's Researcher API. It enables AI assistants to manage bug bounty programs, submissions, and research workflow.
    8
    4
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables agents and CI pipelines to audit MCP servers and agent tool-chains by statically scanning repositories, local checkouts, tools/list exports, or live endpoints for risks such as destructive actions without confirmation, mismatched safety annotations, injection surfaces, credential or PII exposure, and unguarded command, path, or URL sinks. All checks are read-only and never execute the scanned code or call tools/call.
    3
    MIT