"A guide to common homemade recipes" matching MCP servers:

Read-only MCP server for precise lookup, search, and versioned retrieval of OWASP testing guides (WSTG, MASTG, ISTG, AITG) with full provenance on every result.

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

Enables querying MITRE's Common Weakness Enumeration database for vulnerability information, supporting CWE lookup, search, taxonomy navigation, and relationship mapping through MCP.

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.

Exposes a pentest toolbox (sqlmap, nuclei, ffuf, etc.) via Docker to an LLM orchestrator for authorized security audits, with strict whitelisting and timeout controls.

Enables AI agents to run multi-stage CyberChef recipes, decode and encode data, deobfuscate payloads, calculate entropy, and decode JWTs through MCP tools.

Enables AI assistants to execute security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.

A Model Context Protocol server that enables AI assistants to perform network packet analysis, capture, and security operations on a remote machine via Wireshark/tshark.

A security-focused server that integrates with Cursor IDE to provide real-time vulnerability detection, exploit generation, and security insights during software development.

Provides AI assistants with secure access to Metasploit Framework functionality through a standardized interface, enabling commands, exploit search, module info, and scanning.

An intentionally vulnerable case management system designed for security training that provides MCP tools for SOC analyst workflows like case handling and indicator search. It enables users to explore and demonstrate common security weaknesses such as prompt injection, SQL injection, and broken authorization in an MCP-integrated environment.

Provides a Model Context Protocol server implementation that allows AI agents and other MCP clients to programmatically interact with DefectDojo, a vulnerability management tool, for managing findings, products, and engagements.

Provides MCP clients like Claude with tools to query and manage security scans, CVEs, assets, findings, threat intel, and generate polished reports by acting as a lightweight adapter over the CVEasy backend API.

A Model Context Protocol (MCP) server for integrating with StackHawk's security scanning platform. Helps developers set up StackHawk, run security scans, and triage findings to fix vulnerabilities — all from within an LLM-powered IDE or chat.

Provides security assessment methodology, tool documentation, and step-by-step workflows to guide AI agents through vulnerability scanning, static analysis, and penetration testing of applications and URLs.

Bridges AI agents with SafeBreach's Breach and Attack Simulation platform, enabling natural language queries and seamless integration through a multi-server architecture with specialized domains.

Enables AI agents to perform pay-per-call security verification of wallets, tokens, contracts, dApps, agents, and more via a remote endpoint with no installation.

A TypeScript MCP server delivering a vendored 'dangerous skills' corpus and adversarial fixtures over MCP for security-research testing, supporting SEP-2640 skill delivery with archive-safety hardening.

Enables users to statically analyze regular expressions for catastrophic-backtracking (ReDoS) risk through real AST parsing rather than executing the pattern, flagging nested quantifiers, ambiguous alternation, and backreferences. It also generates candidate proof-of-concept attack strings with a timeout-guarded test snippet and suggests JavaScript-safe rewrites.

Enables running Kali Linux security tools and commands in a containerized environment for semi-automated penetration testing, with background job management and out-of-band interaction detection.