# File Organizer MCP

> Use this tool when you need to organize and structure large directories by automatically categorizing and renaming files based on their types and content. It solves problems of cluttered and disorganized file systems, making it easier to locate and manage files. The File Organizer MCP takes in unorganized folder contents as input and outputs a neatly structured topic-based folder system with sensibly named files.

Canonical page: https://skillsregistry.net/skills/ayalaongit-mcpfolderorganizer  
JSON: https://api.skillsregistry.net/v1/skills/ayalaongit-mcpfolderorganizer

## Description

An intelligent MCP server that analyzes folder contents to automatically categorize files and suggest meaningful naming conventions based on file types and content. It enables users to organize messy directories into structured topic-based folders through automated analysis, renaming, and file movement tools.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/entfbm6qok)
- **Repository:** <https://github.com/AyalaOnGit/MCPFolderOrganizer>

## 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": "ayalaongit-mcpfolderorganizer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ayalaongit-mcpfolderorganizer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ayalaongit-mcpfolderorganizer/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
