"How to create new files and save them to Google Drive" matching MCP servers:

Enables AI coding agents to audit websites for PHP runtime vulnerabilities, compile a live Zero-PHP Next.js App Router replacement preview from a WordPress/PHP site, and retrieve remediation guidance.

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

An MCP server providing AI-powered cybersecurity, penetration testing, reconnaissance, vulnerability assessment, and security automation tools through the Model Context Protocol.

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.

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.

Provides safe network reconnaissance through DNS resolution, TLS inspection, HTTP security header grading, and bounded port scanning over the stateless MCP protocol.

Enables to search and analyze internet-connected devices using the Shodan API, with tools for host search, DNS, scanning, exploits, alerts, and more.

Enables AI agents to perform passive security scans on domains, checking email spoofing (DMARC/SPF/DKIM), TLS weaknesses, security headers, exposed files, and subdomain-takeover risk without needing an API key.

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.

Enables passive security scanning of HAR files from QA test automation to detect missing security headers, insecure cookies, CORS misconfigurations, and leaked secrets, without making any live requests.

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.

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

Security checks for apps built with AI: Trivy and Opengrep findings explained in plain English, with a fix request for your coding agent. Hosted scan by default (only files Git would commit, never secret files) or fully local.

MCP server that enables Claude Code to drive the Konsulto cybersecurity audit platform from the CLI, including reading and writing findings, managing evidence, and handling scope and assets.

Enables AI agents to drive live Hack The Box labs through the real HTB Labs API — spawning, resetting and extending machines, submitting user and root flags with difficulty ratings, browsing challenges, and switching or downloading VPN configurations for the authenticated account. Every call hits the live API rather than cached content, with destructive actions annotated so hosts can gate them behind consent.

Lets an AI assistant drive a self-hosted Sn1per install over local stdio, launching orchestrated scans and reading back structured findings, ports, subdomains and technologies. Enforces configured target scope, redacts secrets, and writes an audit log of every scan, cancel, delete and export request.

Enables MCP clients to drive Kali Linux ethical hacking tools for authorized penetration testing, with enforced engagement scope, exploitation gating, and full audit logging.

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 interactive Ghidra reverse-engineering inside an AI client by rendering live decompiler, function browser, and call graph views. Users can click symbols to rename them and follow calls to navigate, all without leaving the conversation.

Enables security analysis of code and infrastructure files via MCP, using Symbiotic CLI for scanning vulnerabilities.

Enables users to deterministically audit MCP servers for security issues across manifests, source, runtime responses, multi-call state, identity, and install scripts, and to run an inline gateway that gates tool calls and scans responses before returning them.

Exposes an OSINT investigation toolkit to any MCP-compatible AI client, which can drive passive checks such as DNS, WHOIS/RDAP, breach, IP reputation, GitHub and news-geo lookups and chain findings across them. The server lists 20 tools by default (16 passive plus 4 graph and batch helpers) and 25 when active checks are explicitly allowed, running via uvx with no separate install.

MCP server exposing LIEF for cross-format binary analysis, enabling parsing, section listing, imports/exports, disassembly, and string extraction for PE, ELF, MachO, DEX, ART, and OAT files.

Enables MCP-native multi-agent security audits for Google Antigravity, orchestrating subagents for 0day research, static analysis, PoC verification, exploit chaining, reporting, and code remediation.

Drive a Flipper Zero wirelessly over Bluetooth LE from Claude.

A read-only MCP server that lets an agent browse the HackerOne Hacker API using an authenticated hacker account, exposing programs, policies, scope, reports, and payments. It cannot create, update, or submit reports.

Enables AI agents to interact with the FlagForge REST API, allowing them to search solved CTF challenges, work on live event challenges, record evidence, submit flag candidates, and write markdown writeups.

Provides an MCP interface to a full Kali Linux environment running in Docker, enabling AI assistants to execute security tools like nmap, sqlmap, and metasploit. It allows users to start/stop the container, run shell commands, and transfer files for security testing and educational purposes.

Enables MCP-compatible AI clients to analyze Android APK and iOS IPA files for security issues through natural language, including permission auditing, API endpoint extraction, hardcoded secret detection, Firebase inspection, and third-party SDK enumeration.

Enables out-of-band interaction testing by integrating ProjectDiscovery's interactsh service as an MCP server. Allows AI agents to create callback domains, send probes, and capture DNS/HTTP interactions for security testing and verification workflows.