# MCP Filesystem Server

> Use this tool when you need to provide secure and controlled access to filesystem resources for AI models, solving problems such as data exposure and unauthorized access. It offers a range of file operations, directory management, and system command execution, accepting inputs through the Model Context Protocol and producing outputs in the form of file system changes. Ideal for use cases requiring strict path validation and predefined directory access.

Canonical page: https://skillsregistry.net/skills/a-niranjan-mcp-filesystem  
JSON: https://api.skillsregistry.net/v1/skills/a-niranjan-mcp-filesystem

## Description

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

## 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:** file-system
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hegg1b0otc)
- **Repository:** <https://github.com/A-Niranjan/mcp-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": "a-niranjan-mcp-filesystem"
    }
  }
}
```

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

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