A Model Context Protocol (MCP) server that provides AI-powered security analysis and safety instruction tools. This server helps protect AI agents by providing security guidelines, content analysis, and cautionary instructions when interacting with various MCPs and external services.
A security-focused Model Context Protocol server that enables controlled local tool execution through strict network firewalls, filesystem protections, and rate-limiting policies. It features a plugin-based architecture for progressive tool discovery and includes reference implementations for web searching and bug tracking.
A secure Model Context Protocol server that allows AI assistants to execute terminal commands with controlled directory access and command permissions. It features a robust security architecture including whitelisting, session IDs, and categorized command levels to ensure safe system interaction.
A secure Model Context Protocol server providing HTTP endpoints for AI agent tool execution, including file system operations, shell commands, and LLM-based code generation.
A Model Context Protocol server that provides tools for mathematical calculations and directory listing, alongside prompt templates for code reviews and explanations. It enables file system access and resource reading through stdio transport.
Provides an enterprise-grade Model Context Protocol implementation with advanced security features including multi-factor authentication, encryption, and RBAC. Enables secure tool management and context handling for production deployments with comprehensive monitoring and high availability.
