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Enables integration of radare2 with AI assistants for binary analysis.
Enables AI assistants to deeply understand .NET codebases through the Model Context Protocol.
Enables AI assistants to directly control local Whistle proxy servers through natural language interaction.
Injects environment variables into Cursor MCP server definitions.
Ensures AI-generated code matches specifications by creating specs, validating output, and suggesting fixes.
Enables large language models to safely generate and execute JavaScript code within an isolated .NET runtime environment.
Enables AI assistants to securely search, analyze, and validate Splunk queries with built-in safety guardrails.
Provides a modular Model Context Protocol server to manage OPNsense firewalls through AI assistants.
Automates native macOS applications through natural language commands, enabling AI-assisted control and interaction.
Analyzes PCAP files to enable LLMs to query and understand network traffic, providing structured JSON responses.
Perform offline IP Whois lookups and keyword-based IP range searches to gather target asset information.
Orchestrates AI-powered penetration testing by planning attack paths, solving CTF/HTB challenges, and automating workflows with advanced search strategies and tool recommendations.
Empowers AI assistants with real-time browser visibility for generating robust Playwright tests and automation scripts.
Enhances the k6 performance testing workflow by offering script validation, local test execution, rapid documentation search, and AI-powered script generation.
Ensures shell script safety by transpiling Rust to deterministic shell or purifying existing bash scripts with automatic safety guarantees.
Exposes Check Point security platform data through a collection of Model Context Protocol servers for AI-powered automation and decision engines.
Generate high-quality QA datasets from documents and evaluate Retrieval-Augmented Generation (RAG) systems with speed and privacy across various environments.
Provides AI agents full access to Julia's runtime for code execution, introspection, debugging, testing, and semantic search.
Integrates Kimi K2.5 with Claude Code to delegate bulk codebase analysis, significantly reducing token costs for large-context tasks.
Automates Android dynamic analysis by enabling AI to directly control Frida for reverse engineering tasks.
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