"An MCP for generating images" matching MCP servers:

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.

An MCP server that scans local codebases for quantum-vulnerable cryptography (secp256k1, Ed25519, RSA, etc.) and CI signing commands, classifying each finding as quantum-broken, post-quantum, or neither. It runs entirely locally with no network calls, providing a deterministic inventory for AI agents.

An MCP server that lets an AI agent probe a live URL and confirm whether sensitive files (e.g., .git, .env, source maps) are genuinely served by fetching and validating the content, avoiding false positives.

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

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.

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

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.

Gives AI assistants access to the Exploit Intelligence Platform for vulnerability and exploit intelligence. Supports searching CVEs, exploits, and generating pentest findings.

An MCP server that audits zero-knowledge circuits (Circom, Noir, Halo2) for soundness and constraint bugs, powered by the Cysic Minimax model.

Enables interaction with NowSecure Platform for listing applications, retrieving remediation findings, and generating remediation PDFs via REST and GraphQL APIs.

Static security scanner for AI-generated (vibe-coded) Supabase and Next.js apps. Runs as an MCP server so an LLM can scan, explain findings, and produce fixes while it writes code, all locally and offline.

MCP server that enables AI coding tools to scan projects for security vulnerabilities, secret leaks, and compliance issues, generating Korean-language audit reports.

Scan a deployed site for an exposed Supabase service_role key and audit Row Level Security from your AI coding agent.

Enables coding agents and CI/CD pipelines to audit untrusted code by detecting Python sandbox escapes, SQL injection taint, ReDoS regex vulnerabilities, and CORS misconfigurations, while generating Seccomp BPF filters for safer execution.

Enables AI assistants to scan websites, public repositories, and OpenClaw/CLAW skills for security vulnerabilities, including local skill-package analysis before installation, cloud scans, and remediation guidance.

MCP server for checking packages against an AI-aware vulnerability database, including CVEs, slopsquatting, CISA KEV, and MCP-server trust profiles.

Enables users to retrieve and display CVE vulnerability information from the National Vulnerability Database (NVD) with support for keyword search and detailed lookup.

Enables Claude to scan a website's HTTP security headers and receive an A–F grade against OWASP best practices, including per-header pass/warn/fail results and copy-paste fixes for missing headers.

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.

Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

An MCP server that exposes Prof. Null, an uncensored cybersecurity professor, as a set of specialized tools for learning hacking, CTFs, and security concepts through Q\&A, roadmaps, cheatsheets, labs, and more.

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 assistants to perform vulnerability scanning using Grype, supporting scans of directories, container images, and packages via the Model Context Protocol.

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.

Keeps bug-hunting AI agents within an authorized scope by checking every target against declarative allow/deny rules, refusing out-of-scope findings, and scrubbing secrets from evidence. It also computes CVSS v3.1 base scores and records findings in an append-only ledger.

Enables agents to inventory the Windows software installed on a machine and match it against current CVE sources (cvelistV5, CISA KEV, EPSS, NVD), turning the hits into a persistent to-do list prioritized by exploitation and severity. It also produces an AI effort assessment for each entry, either by sampling the client or by returning an evidence package the client writes back.

An intentionally vulnerable MCP server for security training, enabling users to practice attacking and defending AI agents through realistic scenarios.

Enables AI assistants to query RoboShadow's Rubicon Platform Data API for read-only endpoint security, asset inventory, applications, users, vulnerabilities, and remediation status data.

An MCP server that provides passive and low-impact active reconnaissance tools for authorized bug bounty and security assessments, enabling LLMs to perform structured recon and generate reports.