Folder Restructure MCP Server

Folder Restructure MCP Server

Analyzes file access times, duplicates, and sizes to identify rarely used files and suggest cleanup for folder restructuring.

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README

Folder Restructure MCP Server

An MCP server that analyzes file access times to help identify rarely used files for folder restructuring.

Features

  • find_rarely_used_files: Find files that haven't been accessed in a specified number of days
  • get_file_stats: Get overall statistics about file access patterns in a directory
  • find_duplicates: Find duplicate files based on size and name, calculate wasted space
  • find_large_files: Identify the largest files taking up space
  • analyze_by_extension: Group files by type (.jpg, .mp4, etc.) showing count and total size
  • suggest_cleanup: Smart cleanup suggestions based on age and size

Installation

# Install uv (required)
brew install uv

# The server will be run via uvx, no additional installation needed

Configuration

Already configured in .kiro/settings/mcp.json:

{
  "mcpServers": {
    "folder-restructure": {
      "command": "uvx",
      "args": [
        "--directory",
        "/Users/swarupravi/Downloads/MCP_server_folder",
        "fastmcp",
        "run",
        "folder_restructure_mcp/server.py"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

How to Use

Method 1: Through Kiro AI (Easiest)

Just ask me in natural language:

"Find duplicate files in ~/Downloads"
"Show me the largest files in ~/Documents over 50MB"
"What file types are taking up space in ~/Projects"
"Find files in ~/Downloads not accessed in 6 months"
"Suggest cleanup for ~/Downloads"

I'll automatically call the right MCP tools and show you the results!

Method 2: Terminal CLI (Direct Access)

Use the folder-analyze command:

# Find large files over 100MB
./folder-analyze large ~/Downloads 100 10

# Find duplicates
./folder-analyze duplicates ~/Downloads

# Analyze by file extension
./folder-analyze extensions ~/Projects

# Get file access statistics
./folder-analyze stats ~/Documents

# Find rarely used files (not accessed in 180 days)
./folder-analyze rarely-used ~/Downloads 180

# Get cleanup suggestions
./folder-analyze cleanup ~/Downloads 180 5

Available Commands:

  • large <dir> [min_mb] [max_results] - Find largest files
  • duplicates <dir> [min_kb] - Find duplicate files
  • extensions <dir> [top_n] - Analyze by file type
  • stats <dir> - Get access statistics
  • rarely-used <dir> [days] [min_kb] - Find old files
  • cleanup <dir> [days] [min_mb] - Get cleanup suggestions

Method 2: Direct Testing (Terminal)

Test the server directly:

# Run in development mode with interactive testing
uvx fastmcp dev folder_restructure_mcp/server.py

# Or run the server
uvx --directory /Users/swarupravi/Downloads/MCP_server_folder fastmcp run folder_restructure_mcp/server.py

Method 3: Python Script

Create a test script:

from folder_restructure_mcp.server import (
    find_rarely_used_files,
    find_duplicates,
    find_large_files,
    analyze_by_extension,
    suggest_cleanup
)

# Find large files
result = find_large_files("~/Downloads", min_size_mb=50, max_results=10)
print(result)

# Find duplicates
result = find_duplicates("~/Downloads", min_size_kb=100)
print(result)

Tool Reference

find_rarely_used_files

Find files not accessed recently.

  • directory: Path to analyze (required)
  • days_threshold: Days since last access (default: 90)
  • min_size_kb: Minimum file size in KB (optional)
  • max_results: Maximum results to return (default: 100)

get_file_stats

Get overall file access statistics.

  • directory: Path to analyze (required)

find_duplicates

Find duplicate files and wasted space.

  • directory: Path to analyze (required)
  • min_size_kb: Only check files larger than this (default: 0)

find_large_files

Find the largest files.

  • directory: Path to analyze (required)
  • min_size_mb: Minimum file size in MB (default: 10)
  • max_results: Maximum results to return (default: 50)

analyze_by_extension

Analyze files grouped by extension.

  • directory: Path to analyze (required)
  • top_n: Number of top extensions to return (default: 20)

suggest_cleanup

Smart cleanup suggestions.

  • directory: Path to analyze (required)
  • days_threshold: Files not accessed in this many days (default: 180)
  • min_size_mb: Minimum file size in MB (default: 1)

Examples

Ask me any of these:

  1. "Find duplicates in ~/Downloads"

    • Shows duplicate files and how much space you could save
  2. "What are my largest files in ~/Documents?"

    • Lists files over 10MB sorted by size
  3. "Analyze file types in ~/Projects"

    • Shows which extensions (.js, .py, .mp4) take up the most space
  4. "Suggest cleanup for ~/Downloads"

    • Smart suggestions for old, large files you might want to delete
  5. "Find files in ~/Desktop not accessed in 1 year"

    • Lists files you haven't touched in 365+ days

Automated Analysis (Cron Job)

Run analysis automatically every 6 hours and save reports:

# Setup cron job (runs at 00:00, 06:00, 12:00, 18:00)
./setup-cron.sh

# Run analysis manually
./run-analysis.sh

# View reports
./view-reports.sh --latest

# Check cron job status
crontab -l

# Remove cron job
crontab -l | grep -v 'run-analysis.sh' | crontab -

Reports Location: analysis-reports/analysis_YYYYMMDD_HHMMSS.json

Each report includes:

  • Large files (>50MB)
  • Duplicate files (>100KB)
  • File statistics
  • File type analysis
  • Cleanup suggestions

Reports are automatically cleaned up (keeps last 30).

Development

Run locally for testing:

uvx fastmcp dev folder_restructure_mcp/server.py

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