# Filesystem (Quarkus)

> Use this tool when you need to enable AI models to interact with local file systems, providing an efficient interface for file operations. It solves problems such as automated file management, content organization, and data processing tasks, leveraging Quarkus' fast startup and low memory footprint. The tool accepts file system inputs and outputs, and is ideal for use cases requiring seamless integration with local file systems, supporting both JVM and native compilation modes.

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

## Description

This Quarkus-based MCP server implementation provides a filesystem interface for AI models. Developed by the Quarkus team, it leverages Quarkus' fast startup and low memory footprint to offer efficient file system operations. The server includes dependencies for Jackson JSON processing, Qute templating, and Arc dependency injection. It supports both JVM and native compilation modes, with a Maven wrapper for easy building and running. This implementation is ideal for scenarios requiring AI models to interact with local file systems, such as automated file management, content organization, or data processing tasks, while benefiting from Quarkus' performance optimizations.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-05

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/quarkiverse-filesystem)
- **Repository:** <https://github.com/quarkiverse/quarkus-mcp-servers/tree/HEAD/filesystem>

## 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": "quarkiverse-filesystem"
    }
  }
}
```

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

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