# MCP Filesystem Server

> Use this tool when you need to provide secure and controlled access to filesystem resources for AI models, enabling them to perform file and directory operations within predefined directories. It solves problems related to data access and security by enforcing strict path validation, ensuring models only interact with authorized files and directories. The MCP Filesystem Server takes in model requests and directory configurations as inputs, and outputs validated file and directory operations, making it ideal for use cases requiring secure data exchange between AI models and filesystems.

Canonical page: https://skillsregistry.net/skills/gabrielmaialva33-mcp-filesystem  
JSON: https://api.skillsregistry.net/v1/skills/gabrielmaialva33-mcp-filesystem

## Description

A secure Model Context Protocol server that provides controlled filesystem access within predefined directories, enabling AI models to perform file and directory operations with strict path validation.

## 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:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f72blrvat4)
- **Repository:** <https://github.com/gabrielmaialva33/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": "gabrielmaialva33-mcp-filesystem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gabrielmaialva33-mcp-filesystem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gabrielmaialva33-mcp-filesystem/pull`

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