Rubber Duck FAQs

Question 1

Which LLM providers does Rubber Duck support?

Accepted Answer

It supports any OpenAI-compatible API endpoint, including major providers like OpenAI, Google Gemini, Anthropic, Groq, Together AI, Perplexity, Azure OpenAI, and local solutions like Ollama and LM Studio.

Question 2

Can I use Rubber Duck with local LLMs?

Accepted Answer

Yes, Rubber Duck is compatible with local LLM solutions like Ollama and LM Studio by connecting to their OpenAI-compatible API endpoints, allowing you to leverage local models alongside cloud-based ones.

Question 3

How does Rubber Duck enhance my AI workflow?

Accepted Answer

It allows you to query multiple LLMs at once ('Duck Council'), maintain conversation context across messages, cache API responses to save costs, monitor provider health, and utilize automatic failover for reliability.

Question 4

What is Rubber Duck?

Accepted Answer

Rubber Duck is an MCP (Model Context Protocol) server that acts as a bridge to query multiple OpenAI-compatible LLMs simultaneously, providing diverse AI perspectives and insights.

Question 5

What is the 'Duck Council' feature?

Accepted Answer

The 'Duck Council' feature allows you to ask a single question and receive simultaneous responses from all your configured LLMs. This provides a diverse panel of AI perspectives to help analyze complex problems or generate varied ideas.

Rubber Duck

Rubber Duck

Key Features

Use Cases

Key Features

Use Cases