# filesystem-mcp

> filesystem-mcp — j0hanz-filesystem-mcp. Use this tool when you need to interact with a local filesystem in a controlled and structured manner, enabling AI agents to read, write, and manage files efficiently. It solves problems related to file system management, such as searching, diffing, and patching files, while providing a reliable and safe interface. Ideal for use cases involving git operations, file versioning, and data storage.

Canonical page: https://skillsregistry.net/skills/j0hanz-filesystem-mcp  
JSON: https://api.skillsregistry.net/v1/skills/j0hanz-filesystem-mcp

## Description

Secure filesystem MCP server for reading, writing, searching, diffing, and patching files.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/j0hanz/filesystem-mcp)

## 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": "j0hanz-filesystem-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/j0hanz-filesystem-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/j0hanz-filesystem-mcp/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