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by CyprianFusi • Uncategorized
An MCP client integrating Airbnb search with persistent memory using OpenAI vector stores.
Search and retrieve Airbnb listings in real-time.
Store and recall user preferences and past interactions using persistent memory.
That require a multi-server MCP architecture combining external data search with conversational memory.
This project provides a multi-server MCP client that combines Airbnb listing search capabilities with a memory server for storing and retrieving conversation context using OpenAI's vector stores. It supports both CLI and Streamlit web interfaces, enabling intelligent agents to remember user preferences and provide real-time Airbnb search results. The architecture allows seamless tool routing between Airbnb and memory servers for enhanced conversational experiences.