"Adding functionality to large language models" matching MCP servers:

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

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.

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.

A demonstration server that allows large language models to perform penetration testing tasks autonomously by interfacing with the Mythic C2 framework.

Provides access to Atomic Red Team tests, enabling search, validation, and execution of atomic tests via natural language.

Enables AI assistants to scan Terraform and Dockerfiles for security misconfigurations, returning structured Checkov findings that can be explained in plain language.

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.

Connects LLMs to BloodHound Enterprise for natural language attack path analysis, Cypher queries, and exploration of Active Directory, Azure/Entra ID, and OpenGraph environments.

Connects MCP-compatible AI clients to a MITRE Caldera adversary emulation platform, enabling natural language construction of attack scenarios, agent inspection, and operation management.

An MCP server that enables AI assistants to analyze Android APK and iOS IPA files for security issues through natural language conversation, including permission auditing, secret detection, and SDK enumeration.

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 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.

A Model Context Protocol (MCP) server for interacting with the DNSDumpster API, enabling AI assistants to perform detailed DNS reconnaissance through natural language requests.

Provides programmatic access to Mimikatz for credential extraction, Kerberos attacks, SAM/LSA dumping, and other Windows security assessment tasks through natural language.

An MCP server that enables AI-assisted mobile security testing by exposing Frida functionality for Android application research. It provides tools for hooking Java methods, manipulating memory, managing device processes, and executing custom Frida scripts.

Provides access to Shodan's IoT search engine API for device search, host intelligence, exploit database, network scanning, and security analysis through natural language.

An AI-native code security audit MCP server that supports multi-language AST analysis, call graph analysis, vulnerability detection, and AI deep audit.

Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.