# Security Detection

The Lighthouse MCP Server is a Model Context Protocol server based on Google Lighthouse, providing comprehensive website performance auditing and analysis functions, including performance scoring, accessibility checks, SEO analysis, and security assessment.

Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.

SharkMCP is a network packet capture and analysis MCP server based on Wireshark/tshark, providing AI assistants with the ability to conduct network security analysis, troubleshooting, and packet inspection. It supports asynchronous packet capture, PCAP file analysis, SSL/TLS decryption, and other functions.

A Ruby-based AI pair programming MCP server that provides AI-assisted programming functions such as code review, brainstorming, performance analysis, and security check through OpenRouter.

Lanalyzer is an advanced Python static taint analysis tool used to detect potential security vulnerabilities in Python projects.

This is an MCP server implementation based on the IP2Location.io API, capable of querying detailed geographical location information of IPv4 or IPv6 addresses, including country, region, city, latitude, and longitude, and supporting the acquisition of network and security-related data.

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 GitHub MCP server provides AI-assisted tools such as code review, PR analysis, and security detection, and supports local and Docker deployment.

sec-mcp is a Python security detection toolkit that provides security check functions for domains, URLs, IPs, etc. It supports integration with Python applications, use in the terminal CLI, or running as an MCP server to provide real-time threat insights for LLMs.