# Filesystem MCP Server

> Use this tool when you need to securely manage and interact with a filesystem remotely, solving problems such as file access and manipulation across different systems and networks. It provides a range of operations, including reading, writing, and deleting files and directories, with inputs including file paths and commands, and outputs including file contents and operation results. Ideal for use cases requiring secure, programmatic filesystem access, such as cloud storage, network-attached storage, or automated data processing pipelines.

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

## Description

Provides comprehensive filesystem operations (read, write, list, create, delete, move files and directories) through the Model Context Protocol with Streamable HTTP transport and built-in security through configurable root directory restrictions.

## 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:** security
- **Updated:** 2026-06-15

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/usufm9gpoz)
- **Repository:** <https://github.com/njbrake/filesystem-mcp-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": "njbrake-filesystem-mcp-server"
    }
  }
}
```

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