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 clients to read and write local Apple Books library, collections, and annotations. Supports searching, exporting, and modifying books and highlights via MCP tools.
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 assistants to read, create, search, update, and delete Apple Notes through natural language conversation, using JXA to communicate directly with the Notes app.
Enables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.
A comprehensive Model Context Protocol (MCP) server for Obsidian on macOS. It provides extensive tools for interacting with Obsidian vaults, notes, and application state through AppleScript, URI schemes, and direct file system access.
Enables natural language tracking and exploration of books, movies/TV, quotes, podcasts, and personalized recommendations, using Google Cloud Firestore as a private, intelligent entertainment memory and AI curator.
A native macOS app with a read-only stdio MCP server for searching a local work timeline by app, document, optional Chrome page context and time. Requires Apple silicon and macOS 15+; it runs on the user’s Mac, rather than in Docker or as a hosted endpoint.
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.
A collection of MCP servers for Apple macOS apps (Mail, Contacts, Notes, Memory, Messages, Calendar, Reminders) enabling AI assistants to read, search, create, and update data via JXA, SQLite, and EventKit.
Enables OMP and Pi hosts without the extension to use OpenViking-backed durable conversation capture, scoped recall, verified archives, explicit memory tools, and cross-agent workspace handoffs through eleven viking_* tools and /ov.
Local-first semantic memory server with project indexing for AI assistants. It enables AI assistants to store, retrieve, and search memories and project code using embeddings and vector search.