# Filesystem MCP Server

> Use this tool when you need to extend AI capabilities with file system access and management, enabling tasks such as file retrieval, storage, and organization. It solves problems related to data access and manipulation, allowing AI assistants like Claude to interact with files and folders. The Filesystem MCP Server takes in AI requests and provides file system outputs, making it ideal for use cases requiring seamless integration of AI and file management.

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

## Description

A Model Context Protocol server that extends AI capabilities by providing file system access and management functionalities to Claude or other AI assistants.

## 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:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g9wkw7o2tb)
- **Repository:** <https://github.com/QuantGeekDev/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": "quantgeekdev-mcp-filesystem"
    }
  }
}
```

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