Siddhant K Code Memory Journal MCP Server
The Smart Photo Journal MCP server helps users search and analyze their photo libraries through powerful and intuitive tools, supporting search by location, tags, people, and photo analysis.
rating : 2 points
downloads : 11
What is Smart Photo Journal?
Smart Photo Journal is a smart photo management service that helps you quickly search for photos by location, tags, people, etc., and provides an analysis function for your photo - taking habits.How to use Smart Photo Journal?
After installation and configuration, you can search for photos through simple query commands or obtain an analysis report of your photo library.Use cases
Suitable for scenarios such as organizing family photos, finding photos from specific trips, and analyzing photo - taking habits.Main features
Location searchFind photos based on the shooting location
Tag searchFind photos by keywords or tags
People searchFind photos containing specific people
Photo analysisAnalyze the time and location patterns of photo shooting
Fuzzy matchingSupport inexact search term matching
Advantages and limitations
Advantages
Multiple search methods to meet different needs
Support fuzzy matching to improve search flexibility
Run locally to protect privacy and security
Intuitive analysis function to help understand photo - taking habits
Limitations
Only support macOS system
Require Photos photo library support
Initial configuration requires technical knowledge
How to use
Installation preparation
Ensure that your device is running macOS and has the Photos photo library installed
Install dependencies
Use the uv tool to install necessary dependencies
Configure the server
Update the claude_desktop_config.json file to configure the server path
Start the server
Run the server to start using
Usage examples
Organize family photosCollect all photos containing family members
Travel memoriesFind photos from specific travel locations
Birthday memoriesFind birthday photos from previous years
Photo - taking habit analysisUnderstand your photo - taking time and location patterns
Frequently Asked Questions
Will the service collect or upload my photos?
Why is the macOS system required?
What does fuzzy matching mean?
How to add more people recognition?
Related resources
GitHub project homepage
Project source code and updates
uv tool documentation
Documentation for the dependency management tool
Inspiration source project
The inspiration source for this project
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
97
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
150
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
838
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
573
5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
761
4.8 points