# MCP Filesystem Agent v3

> Use this tool when you need to efficiently manage file operations with minimal computational resources, enabling large language models like Claude to perform intelligent file tasks. It solves problems related to file management, such as reading, writing, and searching, with optimized token usage. Ideal for use cases where LLMs require access to file systems, providing a production-ready interface for seamless integration.

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

## Description

A production-ready MCP server enabling Claude and other LLMs to perform intelligent file operations with minimal token usage.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kbckoqykl8)
- **Repository:** <https://github.com/Mdskun/MCP-Filesystem-Agent>

## 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": "mdskun-mcp-filesystem-agent"
    }
  }
}
```

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