Smart Photo Journal MCP Server is a specialized server designed to help users search and analyze their photo libraries with powerful tools. It supports features like location-based search, label-based search, people search, photo analysis, and fuzzy matching for flexible queries. The server integrates with macOS Photos library and works locally, ensuring privacy while providing intuitive media management capabilities.
This server provides advanced tools for organizing and analyzing personal photo libraries. Whether you're looking for specific photos based on location, labels, or people, or want insights into your photography habits, this tool simplifies the process. Its local-only operation ensures data privacy, making it ideal for individuals who prioritize security while managing creative media.
The target audience includes photographers, families, travelers, and anyone who wants an efficient way to manage and retrieve photos from their macOS Photos library. It’s also suitable for users familiar with Claude Desktop and MCP server setups.
It is primarily intended for use on macOS systems with access to a Photos library. The server operates locally, meaning all data processing happens on the user's device without sharing information externally unless explicitly authorized through services like Claude Desktop.
You should consider using this server when you need to organize large photo collections, retrieve specific images quickly, or gain insights into your photography patterns. It’s especially useful during events like family gatherings, vacations, or when revisiting memories tied to specific themes (e.g., birthdays).
To install, clone the repository using `git clone https://github.com/Siddhant-K-code/memory-journal-mcp-server.git`, navigate to the directory, and run `uv sync` to install dependencies. Then configure the server by updating your `claude_desktop_config.json` file and start the server using `uv run server.py`.
You need macOS with a Photos library, and `uv` installed to manage dependencies and execute the server. Ensure you replace placeholders in the configuration files with actual paths relevant to your system.
No, the server runs locally on your machine, ensuring that no data is shared externally except with authorized services like Claude Desktop if configured.
The Photo Analysis feature provides details such as total photos, most common times/days for taking photos, and other patterns within your photo library to help you understand your photography habits better.
Yes, the server supports fuzzy matching, allowing flexible queries even when you’re unsure of exact names or terms.
MCP(Model Context Protocol,模型上下文协议)是一个开放协议,旨在标准化应用程序如何为大型语言模型(LLM)提供上下文信息。类似于 AI 应用的'USB-C 端口',MCP 确保 AI 模型能够与各种数据源和工具无缝连接。
MCP 服务器是支持 MCP 协议的服务器,能够以标准化的方式在应用程序和 AI 模型之间交换上下文信息。它为开发者提供了一种便捷的方式,将 AI 模型与数据库、API 或其他数据源集成。
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MCP 服务器充当中间桥梁,将来自各种数据源的上下文信息转化为 AI 模型能够理解的格式。通过遵循 MCP 协议,它确保数据在应用程序和 AI 模型之间以标准化方式传输。
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