# Filesystem

> Use this tool when you need to manage files and directories in a secure and controlled environment, providing AI assistants with capabilities for reading, writing, and manipulating files. It solves problems related to AI-assisted file management, content analysis, and automated file system interactions. The Filesystem tool takes directory paths and file operations as inputs and returns file contents or operation results as outputs.

Canonical page: https://skillsregistry.net/skills/ai-yliu-filesystem  
JSON: https://api.skillsregistry.net/v1/skills/ai-yliu-filesystem

## Description

This MCP server implementation provides filesystem operations for AI assistants. Developed by ai-yliu, it offers tools for reading, writing, and manipulating files and directories, with built-in security measures to restrict access to specified directories. The server is designed for use cases requiring AI-assisted file management, content analysis, or automated file system interactions within allowed directories.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ai-yliu-filesystem)
- **Repository:** <https://github.com/ai-yliu/filesystem-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": "ai-yliu-filesystem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-yliu-filesystem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-yliu-filesystem/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