# fast-filesystem-mcp

> Use this tool when you need to efficiently manage and synchronize files across different systems, solving version control and data consistency problems. It utilizes git capabilities to track changes and updates, accepting file system inputs and producing synchronized outputs. Ideal for use cases involving collaborative development, data backup, and automated deployment workflows.

Canonical page: https://skillsregistry.net/skills/minitim222-fast-filesystem-mcp  
JSON: https://api.skillsregistry.net/v1/skills/minitim222-fast-filesystem-mcp

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/minitim222/fast-filesystem-mcp)
- **Repository:** <https://github.com/minitim222/fast-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": "minitim222-fast-filesystem-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/minitim222-fast-filesystem-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/minitim222-fast-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