# MCP Filesystem Assistant

> Use this tool when you need to manage files efficiently using natural language commands, and simplify filesystem operations such as reading, writing, and organizing files. The MCP Filesystem Assistant solves problems like secure file management and collaboration by providing a sandboxed workspace with a user-friendly web interface. It accepts natural language inputs and outputs organized file structures, making it ideal for tasks that require intuitive file management.

Canonical page: https://skillsregistry.net/skills/chakorabdellatif-filesystem-mcp-with-fastmcp-server  
JSON: https://api.skillsregistry.net/v1/skills/chakorabdellatif-filesystem-mcp-with-fastmcp-server

## Description

An AI-powered file manager that enables natural language filesystem operations including reading, writing, organizing, and managing files within a secure sandboxed workspace through a web interface.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r42pekfbge)
- **Repository:** <https://github.com/chakorabdellatif/filesystem-mcp-with-FastMCP-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": "chakorabdellatif-filesystem-mcp-with-fastmcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chakorabdellatif-filesystem-mcp-with-fastmcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chakorabdellatif-filesystem-mcp-with-fastmcp-server/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
