# File System Explorer MCP Server

> Use this tool when you need to interact with file systems in a controlled environment, providing capabilities for listing directories, reading files, and searching with wildcards. It solves problems such as file discovery, metadata retrieval, and content inspection, with inputs including file paths and wildcard patterns, and outputs including file listings, contents, and metadata. Ideal for AI development and testing scenarios where file system exploration is necessary.

Canonical page: https://skillsregistry.net/skills/akshat12000-filesystem-mcpserver  
JSON: https://api.skillsregistry.net/v1/skills/akshat12000-filesystem-mcpserver

## Description

A beginner-friendly MCP server that enables AI to explore file systems through tools for listing directories, reading files, searching with wildcards, and getting file metadata. Perfect for learning MCP development while providing practical file system interaction capabilities.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h6l8fbulxh)
- **Repository:** <https://github.com/akshat12000/FileSystem-MCPServer>

## 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": "akshat12000-filesystem-mcpserver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akshat12000-filesystem-mcpserver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akshat12000-filesystem-mcpserver/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