"Understanding and Building Probability Density Functions (PDF) Models" matching MCP servers:

A Docker-based MCP server exposing a curated set of Kali Linux security tools for authorized, hands-on network scanning on private ranges, with enforced trustworthiness and honest output.

An MCP server that runs curated adversarial prompts against local Ollama models to test guardrails, scoring responses with heuristic verdicts for human review.

Enables AI models to search and retrieve offline security knowledge from over 20 curated sources including HackTricks, PayloadsAllTheThings, and OWASP guides, via the Model Context Protocol.

MCP server that wraps the Frida dynamic instrumentation toolkit, allowing users to attach to processes, hook functions, enumerate modules and exports, and manage scripts through natural language.

MCP server for security-testing AI models, exposing garak vulnerability scanning and URL/MCP-endpoint scanning as callable tools. It lets agents probe LLM endpoints for jailbreaks, prompt injection, and data leakage, and classify URLs or screen remote MCP endpoints for prompt-injection payloads.

Bridges large language models with the Cobalt Strike C2 framework, enabling AI assistants to control adversary simulation workflows through natural language.

Provides a bridge between large language models and the Metasploit Framework, enabling AI assistants to access and control penetration testing functionality through natural language.

An MCP server that audits installed MCP servers, revealing their credentials, tool capabilities, and security risks. It enables users to assess and monitor the access granted to AI models.

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.

A harness for building test MCP servers that reproduce common attack patterns, enabling detection evaluation via streaming HTTP or stdio.

Bridges large language models with the Metasploit Framework to enable natural language control over penetration testing workflows. It provides tools for searching modules, executing exploits, generating payloads, and managing active sessions.

Enables AI models to interact directly with network services via raw TCP sockets, supporting multiple concurrent connections, buffering, and automated responses.

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.

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.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

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.

Enables local, persistent analysis of business workflows and application state from imported Burp XML or HAR traffic, building actor/entity/state graphs and generating testable hypotheses for manual validation during authorized security testing.

Frida MCP server enables AI models to perform dynamic analysis on mobile and desktop platforms via standardized interfaces, with cross-platform device management, script injection, and built-in hook scripts.

An MCP server that connects AI clients to a Linux terminal for real-time automated penetration testing and CTF challenge solving. It enables AI models to execute terminal commands and interact with offensive security tools like Nmap, SQLMap, and Gobuster.

An MCP server that enables AI models to perform Android dynamic analysis using Frida, including spawning and attaching to applications, listing apps, and injecting scripts.