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Scans projects for security vulnerabilities and automatically updates vulnerable dependencies using Trivy.
Enables AI assistants to interact with blockchains securely, allowing users to maintain control over transaction signing.
Secures API keys for Cursor MCP servers by loading them from a designated file in the home directory.
Builds proof-of-concept, stateless servers without requiring code or hosting.
Facilitates AI-assisted cybersecurity research, scanning, and analysis by connecting AI assistants to security tools through the Model Context Protocol (MCP).
Manages Keycloak users and realms through a standardized Model Context Protocol (MCP) interface.
Accesses the CIRCL CVE Search API to provide comprehensive vulnerability and security information.
Provides a minimal Python service for proxying and managing Xray for Jira API requests, driven by an OpenAPI schema.
Automates the programmatic generation of Bruno API testing collections, environments, and requests using Model Context Protocol.
Provides an experimental server for interacting with the OXC parser's Abstract Syntax Tree.
Enables AI agents and clients to seamlessly invoke various penetration testing tools within a Windows environment.
Provides AI assistants with critical code context, identifying complexity, hidden dependencies, and defect-prone areas.
Automates comprehensive security analysis and vulnerability detection for Android APKs.
Crawl and analyze websites for SEO errors and issues, offering both AI-driven analysis via an MCP server and direct terminal usage.
Simulates a local MCP server that allows on-demand failures to rigorously test client resilience.
Empowers AI agents to perform automated network security assessments using the industry-standard Nmap scanner.
Scans AI-generated projects for production readiness issues before they reach production.
Enables AI agents to launch, interact with, and observe any Wayland application in isolated virtual KWin sessions on KDE Plasma 6.
Extends Claude's capabilities with a comprehensive collection of tested plugins, hooks, agents, and resources for enhanced development workflows.
Optimizes AI agent interactions by significantly reducing token usage during code reads and edits, while preventing common editing mistakes and ensuring code integrity.
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