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This tool acts as a Streamable HTTP server for the Model Context Protocol (MCP), offering remote access to a self-hosted ChromaDB instance. It allows AI assistants such as Claude (Desktop, Mobile, Code), Gemini, and other MCP-compatible clients to connect and utilize the same vector database. Key benefits include shared memory across all connected devices, ensuring your data remains private and self-hosted, and enabling semantic search and vector database operations from remote locations. With easy Docker deployment and a robust architecture that includes an authentication gateway and REST API proxy, it serves as a unified memory server for cross-platform AI interactions.