# Filesystem

> Use this tool when you need to securely interact with local filesystems, enabling AI agents to read, write, search, and manipulate files and directories through a controlled API. It solves problems related to data security and file management, providing a flexible interface for AI systems to work with file-based data and content. Ideal for use cases involving document management, local dataset analysis, or file organization automation, where a secure and controlled filesystem interface is required.

Canonical page: https://skillsregistry.net/skills/mark3labs-filesystem-server  
JSON: https://api.skillsregistry.net/v1/skills/mark3labs-filesystem-server

## Description

This filesystem MCP server, developed by mark3labs, provides a secure interface for language models to interact with local filesystems. It enables AI agents to read, write, search, and manipulate files and directories through a controlled API. By restricting operations to specified directories, it maintains data security while allowing AI systems to work with file-based data and content. The server integrates with Claude Desktop and can be run standalone, offering deployment flexibility. This implementation is particularly useful for AI assistants designed to manage documents, analyze local datasets, or automate file organization tasks using the local filesystem as a backend.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mark3labs-filesystem-server)
- **Repository:** <https://github.com/mark3labs/mcp-filesystem-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": "mark3labs-filesystem-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mark3labs-filesystem-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mark3labs-filesystem-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