Siddhant K Code Memory Journal MCP Server
S

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.
2 points
7.7K

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 search
Find photos based on the shooting location
Tag search
Find photos by keywords or tags
People search
Find photos containing specific people
Photo analysis
Analyze the time and location patterns of photo shooting
Fuzzy matching
Support inexact search term matching
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 photos
Collect all photos containing family members
Travel memories
Find photos from specific travel locations
Birthday memories
Find birthday photos from previous years
Photo - taking habit analysis
Understand 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

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": {
       "smart-photo-journal": {
         "command": "/Users/<YOUR_DEVICE_USERNAME>/.local/bin/uv",
         "args": [
           "--directory",
           "/Users/<PATH_TO_CLONED_DIR>/memory-journal-mcp-server",
           "run",
           "server.py"
         ]
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
14.6K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
7.0K
4.5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
15.4K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
V
Video Editing MCP
Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.
Python
16.4K
4 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
13.8K
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
14.4K
4 points
N
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
21.5K
4.5 points
M
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
36.9K
5 points
G
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
25.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
76.0K
4.3 points
U
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#
34.9K
5 points
F
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
67.2K
4.5 points
C
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
99.8K
4.7 points
M
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
50.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase