# Filesystem

> Use this tool when you need to interact with local files and web resources through standardized operations like reading, writing, and searching. It solves problems related to file system management and web research tasks, providing robust error handling and detailed JSON responses. Ideal for AI assistants that require autonomous interaction with files and web content without direct user intervention.

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

## Description

Provides a filesystem and web access MCP server that enables AI agents to interact with local files and web resources through a set of standardized tools. Built for the Devoxx ecosystem, this server supports operations like reading, writing, searching, and editing files, as well as fetching web page content, with robust error handling and detailed JSON responses. Particularly useful for AI assistants that need to perform file system and web research tasks without direct user intervention.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-10

## Source

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

## 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": "devoxx-filesystem"
    }
  }
}
```

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