# Google Drive

> Use this tool when you need to access and analyze Google Drive files and folders securely, enabling AI agents to search, read, and interact with cloud-stored documents through a controlled API. It solves problems related to data security and cloud storage integration, providing read-only access to Google Drive content. Ideal for use cases involving document analysis, cloud storage search, or providing insights from Google Drive files.

Canonical page: https://skillsregistry.net/skills/modelcontextprotocol-gdrive  
JSON: https://api.skillsregistry.net/v1/skills/modelcontextprotocol-gdrive

## Description

This Google Drive MCP server, developed by ModelContextProtocol, provides a secure interface for language models to interact with Google Drive files and folders. It enables AI agents to search, read, and access Google Drive content through a controlled API. The server handles OAuth authentication, automatically exports Google Workspace files to standard formats, and integrates with the desktop app via NPM. By focusing on read-only access and using OAuth for authorization, it maintains data security while allowing AI systems to work with cloud-stored documents and files. This implementation is particularly useful for AI assistants designed to analyze documents, search through cloud storage, or provide insights from Google Drive content.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/modelcontextprotocol-gdrive)
- **Repository:** <https://github.com/modelcontextprotocol/servers-archived/tree/HEAD/src/gdrive>

## 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": "modelcontextprotocol-gdrive"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/modelcontextprotocol-gdrive` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/modelcontextprotocol-gdrive/pull`

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