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Enables users to search and monitor European regulatory publications including GDPR, ISO27001, and AI Act. Supports creating monitoring topics, generating compliance briefs, and setting up notifications for regulatory updates.

API Docs Generator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI tools to search and explore API documentation from Apidog projects or OpenAPI/Swagger specifications, providing endpoint details, schemas, and project statistics through natural language queries.

apify MCP-server-rag-web-browser

公开目录未提供摘要。

A TypeScript-based MCP server that implements a simple notes system, providing resources for accessing notes via URIs, tools for creating notes, and prompts for generating summaries.

A server that enables management of ApiPost API documentation and team collaboration through the Model Context Protocol, supporting complete interface management directly from compatible editors.

Search web using baidu with AI.

Enables users to search and access AppCan mobile development platform documentation with intelligent fuzzy search, caching, and content retrieval. Provides comprehensive access to AppCan's API documentation, development guides, and tutorials through natural language queries.

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.

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.

Enables AI interaction with native macOS applications including Messages, Notes, Mail, Calendar, and Maps through natural language. It allows users to automate tasks like sending messages, managing contacts, and scheduling events across the Apple ecosystem.

Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.

Apple Notes

全面解析Apple NotesMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Apple Notes能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A local-only server that enables AI agents to create, read, search, and organize Apple Notes directly on macOS. It supports folder management, note formatting, and checklists using native automation to ensure data remains private and local.

MCP server for Apple Notes with semantic search (on-device embeddings via all-MiniLM-L6-v2), full-text search, complete CRUD operations, folder management, and fuzzy title matching. 10 tools. Runs fully locally on macOS — no API keys required.

Provides AI agents with instant access to official Apple developer documentation, Swift docs, design guidelines, and Apple Developer YouTube content through advanced semantic and hybrid search capabilities. Features AI-powered reranking for accurate retrieval of Apple platform knowledge including iOS, macOS, watchOS, tvOS, and visionOS development resources.

Provides AI agents with instant access to official Apple developer documentation, Swift programming guides, design guidelines, and Apple Developer YouTube content including WWDC sessions. Uses advanced RAG technology with semantic search and AI reranking to deliver accurate, contextual answers for Apple platform development.

MCP server exposing the full Apple Ads (Search Ads) Campaign Management API v5 — 74 typed tools

Enables the generation, management, and validation of Apple Shortcuts (.shortcut files) by providing tools to search actions and build control flow blocks. It allows users to programmatically create and analyze shortcut structures for deployment on iOS and macOS devices.

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.