"Information about Apple Notes" matching MCP servers:

Search and retrieve information from Apple's complete developer documentation, including API references, code examples, and Human Interface Guidelines, across all Apple platforms and versions.

This MCP server allows Cursor AI users to search and retrieve SAP Notes and Knowledge Base articles using SAP Passport authentication and Playwright automation.

Enables offline, real-time search of Apple Developer Documentation from Xcode's local index, returning full text, code examples, availability, and framework listings without network calls.

Provides access to Apple's official developer documentation, frameworks, APIs, and WWDC session transcripts across all Apple platforms. It enables AI assistants to search technical guides, sample code, and platform compatibility information using natural language queries.

Answers upgrade questions from a package's own changelog, listing breaking changes, deprecations, security fixes, and raised requirements between two versions, retrieving notes for a single version, and searching changelog entries for specific APIs or options.

Enables AI assistants to search, compare, and get detailed information about MCP servers from the mcpcatalogs.com directory.

Provides live Apple documentation fetching, Xcode build error analysis, and Swift Evolution proposal checking for Apple development assistance.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

MCP server for Claude Desktop that exposes App Store Connect and RevenueCat APIs, enabling indie iOS developers to query portfolio metrics, sales reports, subscriptions, and customer reviews directly in chat.

MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.

Manages continuation notes for projects, enabling session handoff and historical browsing through a two-location storage system.

Provides access to Aceternity UI component library documentation, enabling AI assistants to browse, search, and retrieve detailed information about components.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

Enables users to access local files, manage persistent notes via CRUD, fetch URLs, inspect system information, and analyze or transform text through MCP tools.

Enables note management (create, read, update, delete, list) through MCP, with advanced features including real-time WebSocket communication, performance optimization, security, and monitoring.

A Model Context Protocol server that allows AI assistants to search for and retrieve information about OpenTofu providers, modules, resources, and data sources from the OpenTofu Registry.

A high-performance MCP server for Apple Mail that uses optimized JavaScript for Automation (JXA) to search and manage emails. It enables users to list accounts, fetch mailboxes, and retrieve today's, unread, or flagged messages with significantly improved speed through batch property fetching.

A Model Context Protocol server that provides AI coding assistants with direct access to Apple's Developer Documentation, enabling seamless lookup of frameworks, symbols, and detailed API references.

Enables AI agents to search and retrieve Apple Developer Documentation instantly with symbol search, wildcard matching, and optional semantic embeddings.