"Information about Apple Notes app" matching MCP servers:

Enables managing plain-text notes on disk through MCP resources, tools, and prompts, so natural-language requests can create, read, search, delete, and summarize notes via an interactive client.

An MCP server for managing and persisting notes, offering CRUD operations, note summarization, and resource-based access via a note:// URI scheme.

Enables MCP-compatible clients to create, list, search, and delete notes, read all notes as markdown, and use prompts to summarize or clean up notes.

MCP server that enables local Apple on-device Foundation Model access via any MCP client, supporting text generation, structured output, and multi-turn chat on macOS.

MCP server for Apple event liveblog updates from Engadget, MacRumors, iClarified, and Macworld, enabling AI agents to search, summarize, and monitor posts with optional webhook notifications.

Exposes Apple's on-device 3B parameter LLM to Claude Code and Claude Desktop via MCP. Zero API cost, fully private, runs on Neural Engine.

Lets users search, add, and summarize their saved entries, and expose them as context to AI clients through a local JSON-backed store.

Enables an LLM to keep a persistent scratchpad by adding and reading notes, retrieving the latest note as context, and generating summaries through MCP.

Enables creating and managing text notes through MCP resources and tools. Provides note creation capabilities and automatic summarization of all stored notes.

A simple note storage system that lets users create and summarize notes with varying detail levels using Claude.

Connects your Plaud voice recorder to Claude, giving access to recordings, transcripts, and AI summaries so you can query your notes via natural language.

Lightweight MCP server for adding, reading, and summarizing sticky notes persisted in a local file.

A Python-based MCP server that allows users to create, read, and manage digital sticky notes with Claude integration for AI-powered note summarization.

A TypeScript-based MCP server that enables users to manage text notes with features like note creation and summary generation using a Model Context Protocol.

Enables AI agents to create, read, and summarize sticky notes stored in a local text file through MCP tools, resources, and prompts.

Automatically extracts subtitles, captures screenshots at specified timestamps, and generates structured Obsidian markdown notes from YouTube videos using Claude AI.

Enables AI assistants to manage local sticky notes, allowing users to add, read, retrieve the latest note, and generate AI summaries through natural language.

A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.

A Model Context Protocol server that distills documents from multiple sources into HTML articles and Obsidian notes, with features like key element detection, image filtering, and async task management.

A FastMCP server that enables AI assistants to extract structured information from unstructured text using Google's langextract library through a secure, optimized Model Context Protocol interface.