"A system like ChatGPT with memory to provide past query context in conversations" matching MCP servers:

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

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

Provides 180+ tools for full system control including terminal, Git, Docker, Kubernetes, VMs, BIOS, kernel, cybersecurity, AI, and cloud, designed to work with MCP clients like Cursor and Claude Desktop.

Connects AI assistants to a Kali Linux terminal for executing security tools, managing interactive shell sessions, and performing penetration testing, CTF challenges, and security research tasks.

A local, privacy-first MCP server that orchestrates Ghidra, Binary Ninja, x64dbg, and system tools to provide AI assistants with powerful binary analysis capabilities.

Query Microsoft Patch Tuesday security updates from the official MSRC API — monthly rollups, CVE/KB lookups, supersedence chains, and urgency-ranked triage enriched with EPSS scores and the CISA KEV catalog. No API keys required.

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

Enables MCP-compatible agents to query security checklists, protocols, and framework mappings to safely build and operate AI agents, with tools for checklist runs, protocol lookup, mapping lookup, and threat search.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Exposes PatrowlIntel vulnerability intelligence (CVEs, EPSS, CISA KEV, public exploits, trending attacks) via MCP tools like search_cves, get_cve, and list_trending_attacks.

Enables users to scan MCP servers for security threats, check installed servers, and analyze config files for risks, all from AI assistants like Claude, Cursor, or Windsurf.

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.

Enables assistants to analyze files and URLs for malware by integrating with security services like VirusTotal and ANY.RUN, returning threat reports.

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.

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.

Connects an AI assistant to an already-running mitmweb session so it can read, search, diff, replay, and generate code from the same network flows shown in the UI.

Enables AI coding agents to search a security corpus, scan Terraform plan JSON for cited findings, and list sources via MCP tools grounded in CIS AWS Foundations and OWASP Top 10 CI/CD risks.

Provides security audit primitives for MCP servers, agent tool schemas, and system prompts, along with pentest utilities like JWT inspection and HTTP diffing.

Enables LLM agents to query SecurityTrails for DNS history, subdomain enumeration, WHOIS (current and historical), SSL certificates, and IPv4 intelligence via 17 read-only tools.

A Model Context Protocol (MCP) server that detects cryptographic algorithms, identifies obfuscation, reconstructs standalone implementations, generates SDKs, and bypasses anti-debugging.