Privacy-first MCP server for macOS that allows AI agents to search local images using natural language descriptions, leveraging MLX CLIP embeddings and LanceDB for fast, fully offline search.
Enables natural language search of local photo archives using AI-powered semantic understanding, with integration into Claude Desktop via the Model Context Protocol.
Enables searching local images using natural Japanese queries, leveraging a Japanese-specific CLIP model for similarity search and providing efficient caching and fast retrieval via MCP and HTTP endpoints.
MCP server that provides a 'borrowed eye' for text-only LLMs, enabling them to identify and describe local images via the Qwen VL vision model, including face recognition, scene description, OCR, and targeted visual questioning.
Enables users to search and retrieve photos from a self-hosted Immich photo library via natural language, supporting CLIP-based semantic search, metadata filtering, album browsing, and share link creation.
An MCP server for Immich self-hosted photo management that provides AI-accessible tools for browsing, searching, organizing, and managing photo libraries with duplicate detection and safe deletion workflows.