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Provides a Model Context Protocol (MCP) server for querying and exploring OpenCTI threat intelligence platforms.
Provides an API layer to link AI agents and automation with CTFd instances for challenge retrieval and flag submission.
Provides Model Context Protocol (MCP) tools for High-Performance Computing (HPC), enabling seamless integration with large language models in popular IDEs.
Provides breakpoint-based Python debugging capabilities via API and CLI, designed for integration with AI assistants and development tools.
Analyzes Icecast streaming server configurations for security, performance, and capacity planning.
Integrates Pi-hole's network-wide ad blocking capabilities with AI assistants like Claude for natural language control.
Connects real-time cybersecurity threat intelligence, including IOCs, CVEs, TTPs, and threat actor data, to MCP clients.
Empowers AI agents to automate mobile device control and UI testing on Android through natural language commands.
Bridges Model Context Protocol tool calls to JSON-RPC functions over Unix sockets, providing secure, context-based scoping for multi-tenant server deployments.
Analyzes client stock portfolios with high precision, secures financial data with RS256 encryption, and provides personalized guidance through an avatar-driven AI assistant.
Implements a server designed to pause before responding to requests, useful for testing.
Automate feature management operations by interpreting natural language support requests using advanced AI.
Offers an interactive web console for comprehensive testing and validation of Model Context Protocol (MCP) client implementations.
Integrates IBM Z mainframe capabilities, including Key Protect HSM and z/OS Connect, with AI platforms through the Model Context Protocol.
Provides a secure Model Context Protocol service for SQL Server, enabling safe query execution, schema discovery, and routine management.
Enables AI clients to securely control Home Assistant switch devices and retrieve their states.
Enables AI assistants to monitor web services, APIs, and HTTP endpoints with enterprise-level security.
Analyzes code statically, potentially for security vulnerabilities or code quality issues.
Unifies access to multiple threat intelligence sources for security research and analysis.
Automates banner grabbing by sending requests to Binoculo and processing the responses.
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