MCP server for macOS that enables creating, reading, and searching Apple Notes programmatically through tools like find, get by title or ID, and create.
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 AI assistants to read, create, search, update, and delete Apple Notes through natural language conversation, using JXA to communicate directly with the Notes app.
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.
Headless document processing for AI agents. Invoice extraction, contract analysis, and Dutch business verification. Pay-per-use via X402 on Solana. No API keys needed.
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.
Converts family notices (hospital, government, insurance, delivery) into action cards with confirmed facts and pending verifications, enabling collaborative family confirmation and completion.
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 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.
MCP server giving AI agents real-time web search, page scraping, company intelligence, email discovery, local lead generation, and a persistent knowledge graph. Pay only for what you use, no subscriptions.
Pay-per-use semantic memory for AI agents with cryptographic
attestation. Vector embeddings with SHA256 commitment, secp256k1 signature,
and Lightning invoice.
Provides an MCP server that gives LLM agents an evolutionary memory: entries pay upkeep and survive only if they earn their keep through measured outcomes, with tools for querying, settling, and managing memory.