Multi-Model Advisor (Ollama)
Queries multiple Ollama models in parallel with distinct system prompts focused on empathy, logic, and creativity to provide diverse perspectives on user queries
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Multi-model advisor server that queries multiple Ollama models in parallel to provide diverse perspectives on user queries. Built with TypeScript and the MCP protocol, it leverages three different models (Gemma, Llama, and Deepseek) with distinct system prompts focused on empathy, logic, and creativity respectively. Particularly valuable for users who want to compare different AI perspectives and get more balanced insights without managing multiple model connections.
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