MemPalace/mempalace
MemPalace is an open-source, local-first AI memory system that stores and retrieves conversation history verbatim using semantic search, supporting pluggable backends like ChromaDB and integrating ...
Awesome MCP › Knowledge & Memory
RafalWilinski/mcp-apple-notes
MCP Apple Notes is a specialized Model Context Protocol (MCP) server designed to enable semantic search and retrieval augmented generation (RAG) over Apple Notes. This project allows AI assistants, such as Claude, to access, search, and reference personal Apple Notes during conversations, enhancing the assistant's ability to provide contextually relevant responses based on the user's own notes. The server leverages an on-device embeddings model called all-MiniLM-L6-v2 for semantic search, enabling more intelligent and meaningful search results beyond simple keyword matching. It also supports full-text search capabilities, making it versatile for different search needs. The project uses LanceDB for vector storage, which is essential for managing the embeddings and facilitating efficient retrieval. Integration with Apple Notes is achieved natively through JavaScript for Automation (JXA), ensuring seamless access to the notes data. One of the key features of MCP Apple Notes is that it runs fully locally, meaning no API keys or external cloud services are required, which enhances privacy and security for users. Installation involves cloning the repository, installing dependencies with Bun, and configuring the Claude desktop app to connect to the MCP server. Once set up, users can instruct Claude to index their Apple Notes, enabling the AI assistant to utilize the indexed data for improved conversational context. The project also includes troubleshooting tips and a roadmap for future improvements, such as converting Apple Notes from HTML to Markdown, better chunking of source content, support for custom embeddings models, and enhanced database control. Overall, MCP Apple Notes is a powerful tool for integrating personal note data into AI assistant workflows, leveraging the Model Context Protocol to provide a richer, more personalized AI interaction experience.
https://github.com/RafalWilinski/mcp-apple-notes
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