# Filesystem

> Use this tool when you need to securely manage files and directories within controlled boundaries, solving problems such as unauthorized access and data breaches. It provides a standardized interface for essential file operations, directory management, and metadata retrieval, accepting inputs like file paths and search patterns, and outputting files, directories, and metadata. Ideal for AI assistants requiring controlled access to filesystem resources, it ensures robust security and validation for secure data management.

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

## Description

A filesystem operations MCP server that provides secure access to files and directories through a standardized interface. Developed by Wayazi, it features robust path validation to ensure operations only occur within allowed directories specified at startup. The server implements essential file operations (read/write), directory management (create/list/delete), file movement, metadata retrieval, and search capabilities with pattern matching. Containerized with Docker for easy deployment, it's designed for AI assistants that need controlled access to filesystem resources while maintaining security boundaries.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wayazi-filesystem)
- **Repository:** <https://github.com/wayazi/mcp_file_system>

## 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": "wayazi-filesystem"
    }
  }
}
```

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