Discover our curated collection of MCP servers for security & testing. Browse 2747 servers and find the perfect MCPs for your needs.
Executes commands securely within a Windows Subsystem for Linux (WSL) environment.
Enables Claude AI to analyze the Ethereum blockchain, audit smart contracts, and track wallet profitability.
Assess risk and retrieve asset information for blockchain addresses, domains, and dApps.
Enables secure shell command execution within specified directories for AI applications.
Executes code securely within isolated sandbox environments, adhering to the Message Communication Protocol (MCP) standard.
Provides a comprehensive security framework for Large Language Model (LLM) application ecosystems, particularly those utilizing the Model Context Protocol (MCP).
Enables a secure, remote Model Context Protocol (MCP) server for GMail utilizing AWS Nitro Enclaves.
Enables interaction with Android devices via ADB (Android Debug Bridge) using an MCP server.
Enables Large Language Models to analyze memory dumps and perform memory forensics through a conversational interface.
Integrates Wireshark network analysis capabilities with AI systems, enabling automated packet analysis and insights.
Enables Claude Code to seamlessly integrate and leverage Google's Gemini AI through an OpenRouter API key.
Provides comprehensive IP address intelligence, including geolocation, network details, and privacy detection, via the IPLocate.io API.
Enables customizable interaction with legacy terminal systems via the Remote Terminal Emulation (RTE) protocol.
Provides AI assistants with instant, accurate Maven Central dependency intelligence and documentation support for all JVM build tools.
Exposes the official FedRAMP/docs repository through a Model Context Protocol (MCP) server, enabling queryable access with FRMR-aware tooling.
Connects various MCP clients to a Kali Linux terminal via a lightweight API bridge, enabling remote command execution and AI-assisted offensive security workflows.
Provides intelligent mobile device control and automation capabilities for Android and iOS, deeply integrated with Cursor AI.
Enhances AI coding assistants by enforcing explicit LLM evaluations for planning, code changes, and testing to ensure safer, higher-quality, and evidence-based development.
Provides AI agents with direct access to Shodan's internet intelligence, offering tools for passive reconnaissance, vulnerability analysis, and device search.
Analyze binary files using an AI-powered engine, orchestrating 190 analysis tools for comprehensive cybersecurity investigations.
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