Apple Notes

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This MCP server, developed by RafalWilinski, enables AI assistants like Claude to search and reference Apple Notes during conversations. Built in TypeScript, it provides semantic search capabilities using on-device embeddings and vector storage with LanceDB. The implementation stands out by offering native Apple Notes integration via JXA and fully local execution without API keys. By connecting AI capabilities with personal note content, this server allows AI systems to retrieve relevant information from a user's Apple Notes. It is particularly useful for building AI-powered tools that require context from personal notes, such as task planning, information retrieval, and knowledge management applications.

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