Discover our curated collection of MCP servers for security & testing. Browse 1771servers and find the perfect MCPs for your needs.
Enables AI-assisted debugging by providing a Model Context Protocol (MCP) server for GDB interaction.
Enables AI-assisted debugging workflows by integrating the LLDB debugger with Claude's Model Context Protocol (MCP).
Automates external attack surface mapping by integrating reconnaissance tools and natural language processing.
Enables AI-driven penetration testing agents and LLMs to autonomously participate in CTF challenges through a comprehensive API.
Enables AI assistants to control iOS Simulator through an MCP (Model Context Protocol) server.
Enables AI agents to perform headless reverse engineering with IDA Pro.
Orchestrates multiple AI models through an 8-step workflow, delivering high-quality, validated code with token optimization and automatic context preservation.
Enables an LLM to perform static analysis of Portable Executable (PE) files for malware triage.
Automates mobile UI testing and assists development workflows with a comprehensive suite of tools.
Provides a privacy firewall for large language models, automatically detecting and redacting sensitive information from PDF documents before processing.
Exposes the Mythic framework as an MCP server for Large Language Model (LLM) integration.
Orchestrates automated reverse engineering and debugging across multiple IDA Pro instances.
Enables AI assistants to execute Python code with pexpect functionality, allowing for interactive debugging and programmatic command-line interaction.
Automates Ludus cyber range environments with AI-powered natural language commands.
Provides real-time access to global security events and threat intelligence.
Empower AI assistants with real-time insights into open-source security vulnerabilities, license compliance, and dependency health.
Enables AI agents to debug Tauri applications through screenshot capture, window management, DOM access, and simulated user inputs.
Provides Large Language Models (LLMs) access to web accessibility testing APIs.
Provides a curated list of best practices for building Model Context Protocol (MCP) servers and clients.
Automates security analysis and remediation for AI-generated code within AI coding environments.
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