# MCP File Browser Server

> Use this tool when you need to securely interact with local file systems, enabling Large Language Models to browse directories, read files, and search content while maintaining comprehensive security controls. It solves problems related to secure file access and content retrieval, handling large directories and files with high performance. Ideal for use cases requiring secure and efficient file system interaction, such as data processing and information retrieval tasks.

Canonical page: https://skillsregistry.net/skills/ntufar-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ntufar-mcp

## Description

Enables Large Language Models to safely browse and interact with local file systems through secure directory listing, file reading, and content search capabilities. Built with comprehensive security controls and high-performance handling of large directories and files.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y95jjzip49)
- **Repository:** <https://github.com/ntufar/mcp>

## 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": "ntufar-mcp"
    }
  }
}
```

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