# Claude Asset Tagging Agent

> Claude Asset Tagging Agent — henzostudios-mcp-google-drive-agent-replit. Use this tool when you need to automate the organization and categorization of files in public Google Drive folders. The Claude Asset Tagging Agent solves the problem of manual file tagging by using AI to automatically read, categorize, and tag files, and then writes the tags back to file metadata. It is ideal for use cases where large numbers of files need to be quickly and accurately organized, such as content management and data cataloging.

Canonical page: https://skillsregistry.net/skills/henzostudios-mcp-google-drive-agent-replit  
JSON: https://api.skillsregistry.net/v1/skills/henzostudios-mcp-google-drive-agent-replit

## Description

An MCP server that enables AI agents to read files from public Google Drive folders, automatically categorize and tag them using Claude, and write the tags back to file metadata.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qfpdwnnobl)
- **Repository:** <https://github.com/Henzostudios/mcp-google-drive-agent-replit>

## 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": "henzostudios-mcp-google-drive-agent-replit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/henzostudios-mcp-google-drive-agent-replit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/henzostudios-mcp-google-drive-agent-replit/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