Rubber Duck
Bridges multiple OpenAI-compatible LLMs, providing an interface for querying various AI perspectives with tool access.
About
Embrace the debugging spirit with Rubber Duck, an innovative MCP server designed to connect you with a council of AI 'ducks.' Just as you'd explain a problem to a rubber duck, this tool allows you to pose questions and receive insights from multiple OpenAI-compatible LLMs simultaneously. Get diverse perspectives, leverage specialized models, and even maintain conversational context across different AI providers, making complex problem-solving and ideation more collaborative and insightful.
Key Features
- Query multiple OpenAI-compatible LLM providers simultaneously
- Maintain conversation context across multiple messages and providers
- Receive responses from all configured LLMs at once (Duck Council)
- Cache API responses to avoid duplicate calls
- Monitor LLM provider health with automatic failover
- 36 GitHub stars
Use Cases
- Maintain a debugging conversation with an AI, switching providers as needed
- Convene a 'Duck Council' to gather diverse architectural or design recommendations
- Compare explanations or solutions to a problem from various AI models
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