# File System Tools

> Use this tool when you need to manage and analyze file systems, solve problems related to file organization, document management, and directory analysis. It provides capabilities for removing directories, counting files, and retrieving file information, with inputs including file paths and directory structures, and outputs including detailed file information and error reports. This tool is ideal for workflows involving local file system interactions, enabling AI systems to efficiently perform file-related tasks.

Canonical page: https://skillsregistry.net/skills/linglai-file-system-tools  
JSON: https://api.skillsregistry.net/v1/skills/linglai-file-system-tools

## Description

MCP-tools provides file system management capabilities for AI assistants through a FastMCP server implementation. Created by Linglai Chen, it offers tools for removing directories, counting PDF files, retrieving detailed file information, and recursively analyzing directory structures with comprehensive error handling. The implementation exposes these file operations as callable tools that enable AI systems to interact with the local file system, making it particularly useful for workflows involving file organization, document management, and directory analysis tasks.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/linglai-file-system-tools)
- **Repository:** <https://github.com/linglai27/mcp-tools>

## 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": "linglai-file-system-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/linglai-file-system-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/linglai-file-system-tools/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