Explain problems to AI assistants for debugging and research, maintaining conversation context across multiple providers and models to gain different perspectives.
Apply structured mental models like First Principles, Pareto Principle, and Occam's Razor to systematically break down and solve complex problems, enhancing decision-making and reasoning.
Query the web with DuckDuckGo to retrieve structured search results, supporting options like region, SafeSearch, and result count for precise and customizable searches.
An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI "ducks" who can actually research and get different perspectives!
Brings rubber duck debugging to AI-powered IDEs by providing a tool for articulating problems and clarifying logic in natural language. It helps developers and AI agents reveal hidden assumptions and surface solutions through structured self-explanation and reflection.
This MCP server utilizes DuckDuckGo for web searches, providing structured search results with metadata and features like smart content classification and language detection, facilitating easy integration with AI clients supporting the MCP protocol.