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Provides a unified interface for executing and parsing test results from various testing frameworks.
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.
Executes code securely within isolated sandbox environments, adhering to the Message Communication Protocol (MCP) standard.
Integrates OWASP ZAP with AI models to enable AI-driven security testing and analysis.
Provides a robust server environment with essential tools for professional penetration testing.
Enables a secure, remote Model Context Protocol (MCP) server for GMail utilizing AWS Nitro Enclaves.
Analyzes code using AI, offering both CLI and GitHub Actions integration for automated code review.
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.
Facilitates XSS (Cross-Site Scripting) vulnerability testing using an AI-powered MCP server.
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.
Integrates Security Orchestration, Automation, and Response (SOAR) capabilities directly into AI clients via the Model Context Protocol.
Analyzes and flags unsafe dependencies introduced by AI agents, recommending secure alternatives to protect agentic AI development workflows.
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 a standardized interface to PCILeech for DMA-based memory operations, enabling memory and debug workflows for MCP clients.
Enhances AI coding assistants by enforcing explicit LLM evaluations for planning, code changes, and testing to ensure safer, higher-quality, and evidence-based development.
Verifies AI agent actions and orchestrates full-stack reality testing for web applications, desktop apps, and operating systems.
Automate penetration testing, vulnerability discovery, and bug bounty workflows by bridging large language models with offensive security capabilities.
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