"An official Figma MCP server" matching MCP servers:

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.

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.

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.

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.

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

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

Privacy-preserving authentication cookie security auditing for AI browser agents, MCP clients, and automated testing. Detects missing HttpOnly, Secure, SameSite, and other cookie protections, and returns structured security findings without exposing raw cookie values.

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.

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 local, deterministic review of GitHub and GitLab pull request diffs for secret leaks, OWASP injection issues, WCAG 2.2 AA/EU EAA accessibility gaps, EU AI Act transparency, and database RLS risks, producing risk scores, merge decisions, committable suggestions, and SARIF exports.

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.

An intentionally vulnerable MCP server for security training, simulating a fictional company with 28 vulnerable tools and 38 challenges to learn AI agent attack and defense.

MCP server for AI-driven VAPT orchestration, enabling agents to plan and execute authorized security scans through a control plane that enforces scope, sanitization, budget, rate limits, human approval, and audit logging.

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

An authorization-first MCP-governed control plane for executing security-tool workflows in explicitly approved, sandboxed environments with auditable campaigns and AI collaboration boundaries.

Enables red-team and blue-team security workflows on BlackArch Linux by wrapping local tools like nmap, gobuster, nikto, and hydra as MCP tools, with scope-gating that prevents unauthorized scanning against any target not explicitly listed in a local scope.yaml file.

Exposes seven MCP tools that let an AI coding agent detect a project's stack, fetch the priority security checks for that platform, search 2,057 OWASP-derived check cards with file-and-commit provenance, and record evidence-backed pass/fail results in a report.

An MCP server for the OnSecurity API that allows Claude to query Rounds, Findings, Prerequisites, Blocks and Notifications.

Enables cybersecurity training, purple-team collaboration, and executive readiness through tools for scenario generation, attack simulation, telemetry analysis, incident investigation, forensics, and reporting with an immutable audit trail.

Enables structured robustness and security testing by scanning text for policy/safety issues and generating test suite outlines.

An MCP server for authorized bug bounty work that enforces an evidence-driven workflow with session management, preflight checks, surface discovery, and verified scanning.

An AI-powered penetration testing reasoning engine that provides automated attack path planning, step-by-step guidance for CTFs/HTB challenges, and tool recommendations using Beam Search and MCTS algorithms.

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 AI coding assistants with real-time security scanning superpowers, including SAST, secrets detection, dependency CVE scanning, and web vulnerability assessment.

Provides on-machine security scanning for Copilot-generated code, including SAST, secrets, dependency, container, and configuration checks, plus AI-specific risk detection, with findings and fixes available via MCP tools.

Lets MCP-compatible AI clients read your getdebug projects, findings, and proposed fixes using your existing bearer token.

Security Scanner AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables management of capture sessions, rules, certificates, and protocol communication through an MCP endpoint, controlling a sing-box core.