The Vulners MCP Server is a tool that provides access to the Vulners vulnerability database through the Model Context Protocol (MCP), supporting direct query of vulnerability information, CVE search, security bulletin analysis, and software package audit in AI assistants such as Claude Desktop.

GhidraMCP is a Ghidra plugin that enables AI - assisted binary analysis through the Model Context Protocol (MCP), connecting reverse engineering with AI assistants and providing functions such as natural language interaction, in - depth code analysis, and security vulnerability detection.

The Zebbern Kali MCP server is a comprehensive penetration testing platform based on the Model Context Protocol (MCP), providing 139 functions for AI assistants (such as GitHub Copilot) to directly execute security tools on the Kali Linux system through a standardized API, covering network reconnaissance, web application testing, password cracking, vulnerability exploitation, and Active Directory attacks.

Sonatype MCP Server is a protocol server that connects AI assistants to Sonatype's dependency management and security intelligence platform, providing developers with real-time insights into security vulnerability scanning, license compliance checking, and health analysis of open-source dependencies.

The Socket MCP server is a Model Context Protocol service for dependency security scanning, providing security scores and vulnerability detection functions for software package ecosystems such as npm and PyPI, supporting AI assistant integration and multiple deployment methods.

MCP Fortress is a comprehensive security tool designed for Model Context Protocol (MCP) servers, offering automated vulnerability scanning, runtime protection, risk scoring, and threat detection functions, and supporting integration with AI assistants such as Claude Code through the MCP server mode for security analysis.

This project is a collection of resources related to the security of the Model Context Protocol (MCP), including research papers, security vulnerability analyses, tools, articles, and other relevant resources. It aims to help developers and security experts understand and address security challenges in the MCP protocol.

MCP Server Semgrep is a server that complies with the Model Context Protocol standard, integrating the Semgrep static analysis tool with an AI assistant to provide code security analysis, quality improvement, and vulnerability detection functions. The project simplifies the architecture design, supports multi - platform operation, can be installed in multiple ways, and provides a rich set of code analysis functions.

A Java source code vulnerability auditing tool based on function-level taint analysis. It provides security analysis capabilities for AI assistants through the MCP protocol, supporting the detection of multiple vulnerability types and call chain tracing.

VulniCheck is an AI - driven security scanner that provides comprehensive security analysis for Python projects and GitHub repositories. It runs as a Docker - based HTTP MCP server, supports standard HTTP streaming, and offers containerized deployment and comprehensive vulnerability scanning capabilities, including dependency checking, key detection, Docker file analysis, and AI risk assessment.

This project demonstrates a security vulnerability that enables remote code execution and data theft through MCP tool poisoning. It includes the implementation of a malicious server and an explanation of the attack principle, aiming for educational research.

The Kali MCP Server is an AI-driven network security testing platform that integrates over 55 professional security tools and supports multiple AI interfaces for intelligent penetration testing and vulnerability discovery.

The ExploitDB MCP server is a model context protocol service that provides vulnerability database query functions. It is developed by Cyreslab.ai to enhance the capabilities of AI assistants in network security research.

The MCP penetration testing framework is an intelligent automated security assessment tool that integrates multiple security tools to achieve reconnaissance, vulnerability scanning, and controllable exploitation. It supports AI - driven intelligent workflows and report generation.

This project bridges the Yogosha vulnerability bounty platform through the MCP protocol, enabling automated vulnerability management, asset inventory, and report generation, and supporting direct operation of security resources by AI assistants.

The GitHub Code Review MCP service is a code review tool based on Claude AI, providing automated code review, security vulnerability scanning, performance analysis, etc. for GitHub repositories, and supporting integration with the MCP protocol.

An enterprise-level intelligent code analysis platform that provides codebase analysis, technical debt assessment, security vulnerability detection, and other functions for AI assistants through the MCP server. It supports local and remote code sources and automatically generates PDF reports.