# Security Analysis

abusech-mcp is an MCP server that retrieves threat intelligence data about malware, URLs, IPs, and domains from multiple abuse.ch platforms through a unified API.

The MCP Threat Intelligence Server provides the ability to access multiple threat intelligence sources in a unified manner, supports queries for IPs, domain names, hashes, and URLs, integrates platforms such as AlienVault OTX, AbuseIPDB, GreyNoise, and abuse.ch, and allows botnet tracking using Feodo Tracker without an API key.

A multi-model AI code review and analysis server based on the Model Context Protocol. It supports the parallel execution of code quality checks, security analysis, and multi-agent consensus reviews by multiple AI models such as OpenAI, Anthropic, and Google Gemini.

An MCP server that provides Nmap network scanning capabilities, supporting customizable scans, result storage, and AI analysis.

The VirusTotal MCP Server is a tool that provides VirusTotal API query services for MCP - compatible applications such as Claude Desktop, supporting comprehensive security analysis of URLs, files, IPs, and domains.

Cyber Sentinel is a threat intelligence aggregation MCP server that provides a unified multi-source threat intelligence access interface, supporting security indicator analysis, code security detection, dependency scanning, and infrastructure security assessment.

A security analysis MCP server integrating OSV.dev and an AI model to detect code vulnerabilities and provide security suggestions.

The Terraform MCP server developed by Binadox provides functions such as automatic verification, security checks, and cost estimation for Terraform configurations, and integrates the MCP protocol to work in collaboration with an AI assistant.

MCP is an open-source AI-driven penetration testing framework that integrates multiple security tools, analyzes their outputs in real-time, strictly follows the standard penetration testing process, and provides intelligent assistance to security testers.

Octocode MCP is an advanced AI code assistant that provides intelligent search and discovery functions across the GitHub and npm ecosystems. It helps developers quickly understand codebases, analyze project architectures, discover security patterns, and supports enterprise-level security and cross-platform use.

BloodHound - MCP is a project that integrates the Model Context Protocol (MCP) server with BloodHound, analyzing Active Directory security data through natural language.

This is a security analysis MCP server based on Symbiotic CLI, which provides code and infrastructure security scanning tools for compatible clients through the MCP protocol, supporting static analysis, vulnerability detection, and automatic repair suggestions.

The Codacy MCP Server is an API service that provides code quality, security analysis, and repository management. It supports integration through various IDE plugins to help developers conduct code reviews, technical debt assessment, and security vulnerability detection.

The ROADrecon MCP Server provides Azure AD data security analysis services for AI assistants

The Panther MCP server is a security analysis platform that provides functions such as writing detection rules in an IDE, querying security logs through natural language, and alert handling, and supports configuration of multiple tools and clients.

The ORKL MCP Server is a Model Control Protocol server for accessing the ORKL Threat Intelligence Library. It provides standardized MCP tools and resources, supports efficient caching and rate limiting, and has built-in integration with Claude Desktop.

The Ghost Security MCP Server is a standardized tool that provides secure access to the Ghost Security API, supporting queries for security findings and repository data, and is compatible with all MCP clients.

An MCP server integrated with the MISP platform, providing threat intelligence capabilities for large language models, including malware detection, threat intelligence search, IoC submission, and report generation.

An MCP server project for XSS vulnerability testing, supporting functions such as detecting JavaScript execution through AI, analyzing HTTP responses and headers, and customizing HTTP requests.

A server based on the MCP protocol for querying software lifecycle and security status

A server based on the Model Context Protocol (MCP) for performing enrichment queries on provided observables (such as IP addresses, domain names, etc.) through third - party services (such as VirusTotal, HybridAnalysis, etc.). This project is currently only for development and testing, supports multiple observable types and third - party services, and uses environment variables to manage API keys for security.