# Smart Photo Journal MCP Server

> Use this tool when you need to efficiently organize and search your photo library by location, labels, and people. It solves problems of disorganized photo collections and difficulty in finding specific images, providing outputs such as analyzed photos and matched results through a user-friendly interface. Ideal for use when managing large photo libraries, the Smart Photo Journal MCP Server takes inputs like photo collections and search queries to deliver enhanced photo management capabilities.

Canonical page: https://skillsregistry.net/skills/siddhant-k-code-memory-journal-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/siddhant-k-code-memory-journal-mcp-server

## Description

This MCP server aids users in searching and analyzing their photo library by location, labels, and people, offering functionalities like photo analysis and fuzzy matching for enhanced photo management.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f1jiworg5k)
- **Repository:** <https://github.com/Siddhant-K-code/memory-journal-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "siddhant-k-code-memory-journal-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/siddhant-k-code-memory-journal-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/siddhant-k-code-memory-journal-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt