"Managing game servers using Pelican panel" matching MCP servers:

Enables Antigravity to act as an automated Cheat Engine/memory editor for singleplayer Windows games, providing process attachment, memory scanning/reading/writing, freezing, pointer and AOB resolution, Lua scripting, Cheat Table support, and stealth-oriented operations such as low-footprint syscalls and DLL injection.

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.

MCP server for Android APK triage, providing tools to parse APK headers, list DEX classes, and decode AndroidManifest.xml using apktool or androguard backends.

MCP server for DefectDojo vulnerability management, exposing 24 tools for managing products, engagements, tests, findings, scan imports, and finding lifecycle through the Model Context Protocol.

Enables AI assistants and agents to search bug bounty programs, retrieve policies and scopes, and check targets against active scope across HackerOne, YesWeHack, and Intigriti using personal API credentials.

Enables an LLM to author, validate, and test Wirefilter WAF and Smart Firewall rules using live schema and real CVE exploit templates.

Enables comprehensive vulnerability scanning using Nuclei scanner with support for single targets, network ranges, and cluster-wide security assessments with customizable severity levels and automated scheduling.

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

Enables AI assistants to perform Active Directory reconnaissance by enumerating users, groups, computers, trusts, and password policies using ldapdomaindump on a remote Kali host via SSH.

Enables AI assistants to perform domain reconnaissance using theHarvester OSINT tool, including email harvesting, subdomain discovery, DNS brute force, and Shodan integration, via SSH on a Kali Linux host.

AI-powered penetration testing reasoning engine (MCP server) for attack path planning, step scoring, and tool recommendations using Beam Search and Monte Carlo Tree Search.

Enables AI assistants to perform web content discovery scans using feroxbuster on a remote system via SSH, with support for recursive scanning, filtering, and background execution.

Enables AI assistants to perform password security auditing using John the Ripper on a remote Kali system via SSH, supporting cracking, hash management, and session control.

A Model Context Protocol (MCP) server that provides comprehensive network scanning capabilities using nmap.

A Model Context Protocol (MCP) server for Kerberos abuse operations using Rubeus on Windows or Impacket on Linux/macOS.

Enables read-only interaction with YesWeHack hunter accounts via MCP, allowing consultation of programs, scopes, reports, and credits using email/password/TOTP authentication.

Enables AI agents to symbolically execute binaries and solve them mathematically — unflattening OLLVM control flow, using Z3 and angr to derive exact inputs that reach target branches, tracing taint to dangerous sinks, devirtualizing bytecode VMs, and hot-patching live process memory without touching disk.

This MCP server enables AI assistants to control Ligolo-ng operations on a remote Kali Linux machine via SSH, providing tools for managing proxy, agents, tunnels, routes, and listeners for network pivoting during security assessments.

An MCP server that enables AI-assisted mobile security testing by exposing Frida functionality for Android application research. It provides tools for hooking Java methods, manipulating memory, managing device processes, and executing custom Frida scripts.

MCP server that enables AI agents to search domain, IP, port, service, title, ICP, server header, and component assets via the SCANDOMAIN API using Quake-style DSL queries.

Fully automated MCP server built to communicate with JADX-AI-MCP Plugin to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly.

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.

Enables users to query BloodHound Active Directory graph data using natural language, finding attack paths, Kerberoastable accounts, and other AD security insights.

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.

Enables reverse engineering and binary analysis using Ghidra, YARA, Radare2, and other tools, plus backend development assistance like project analysis, security scanning, and scaffolding.

Connects Claude Code to BountyLens Hunter Tracker for managing bug bounty hunt sessions, findings, leads, and programs.

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

Enables security work such as threat modeling, scanning, compliance checks, and remediation through AI assistants using the Model Context Protocol.

Enables AI assistants to perform reconnaissance tasks using the reconFTW framework, supporting full, passive, subdomain, vulnerability, and OSINT scans through MCP tools.

Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.