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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.

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.

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.

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.

A simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with built-in prompt support for generating summaries of stored notes.

Compile semantic document edits into correct Google Docs batchUpdate requests. UTF-16 arithmetic, cascading index shifts, OT-compatible ordering. MIT licensed.

A production-ready MCP server that enables interaction with the AroFlo API to manage quotes, projects, and labor reporting. It features secure request signing and exposes API documentation as resources for enhanced context and tool surface.

Enables AI programming tools to query AScript API documentation and control real Android/iOS devices for automation scripting, including device interaction, development deployment, and file management.

Allows AI tools like Cursor, VS Code, Claude, ChatGPT, and Windsurf to access the latest Astro documentation in a structured way, enabling accurate answers about Astro's features, APIs, and best practices.

The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.

An MCP server that provides integration with Jira and Confluence for managing issues, boards, sprints, and documentation pages. It is specifically designed for native deployment on Heroku to enable AI models to interact with Atlassian resources using standardized tools.

Automatically provides AI assistants with contextual, version-specific documentation for Python project dependencies by scanning pyproject.toml files. Eliminates manual package lookup and enables more accurate coding assistance through seamless integration with AI tools.

A server that automates screenshot capture and document processing, allowing users to convert screenshots into PDFs and extract text through natural language commands.

Enables conversion of PDF files to Markdown format with optional image extraction using docling. Supports batch processing of multiple PDFs with structured output including metadata and processing statistics.

🚀 Token-efficient MCP server for Confluence. Reduces LLM costs by 76% via Markdown conversion. Supports listing, searching, and fetching pages.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

bart6114 my-bear-MCP-server

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