"Information about Apple" matching MCP servers:

A simple MCP server that recalls and saves memories from and to Apple Notes.

An MCP server for Apple Notes that enables semantic search and full CRUD operations through natural language.

Enables semantic search, connection discovery, and grounded synthesis across your Apple Notes using on-device embeddings and optional LLM synthesis, with direct SQLite access for fast indexing.

MCP server for macOS that enables creating, reading, and searching Apple Notes programmatically through tools like find, get by title or ID, and create.

Enables AI agents to search, read, create, and append Apple Notes using MCP tools, supporting bulk folder reads and tag search.

Allows the AI to read from your local Apple Notes database (macOS only)

The Apple Books MCP server bridges the gap between your personal reading journey and AI capabilities by transforming static book collections into interactive knowledge repositories.

Enables AI clients to read and write local Apple Books library, collections, and annotations. Supports searching, exporting, and modifying books and highlights via MCP tools.

Enables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

AutoMem MCP provides persistent memory for AI assistants, enabling them to recall information across conversations and platforms with graph-vector retrieval.

Public, agent-searchable knowledge base about AI-native software development, served as an MCP server with tools to search, read, and list topics.

A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.

Enables MCP-compatible agents to answer questions about you by exposing your CV through a tool, resource, and prompt.

A personal knowledge hub MCP server that enables LLMs to query structured information about Akib Dabgar's skills, experience, projects, and goals using Dynamic Context Retrieval for efficient context usage.

MCP server for the Graphite Financial Knowledge Graph, enabling natural language queries about companies, supply chains, executives, regulations, and patents via MCP-compatible clients.

Gives AI coding agents persistent, evolving knowledge about a codebase, enabling them to store and retrieve observations about architecture, conventions, gotchas, and recent work context.

Provides a compressed knowledge graph of the NVIDIA AI developer stack for deterministic traversal, enabling agents to answer questions about dependencies and prerequisites with minimal tokens.

Exposes tools to ingest FigJam boards, retrieve context summaries, and answer free-form questions about the board content.

Enables Claude to query user-curated, dated memory entries stored locally, giving users direct control over what the AI remembers about them.