一个强大的模型上下文协议（MCP）服务器，实现与 Google Drive 的无缝集成，使 AI 模型能够搜索、列出并读取 Google Drive 文件。

🚀 特色

工具

1.gdrive_search

在你的Google Drive中，通过强大的全文搜索功能搜索文件。

• 输入：

• 输出：包含以下文件列表：

• 文件名

• 哑剧类型

• 文件ID

• 最近修改时间

• 文件大小

2.gdrive_read_file

直接通过Google Drive文件ID读取文件内容。

• 输入：

• 输出：文件内容并进行适当格式转换

自动文件格式处理

服务器智能地处理不同的 Google Workspace 文件类型：

• 📝 Google 文档→ Markdown
• 📊 Google Sheets → CSV
• 📊 谷歌简报→纯文本
• 🎨 谷歌绘图→PNG
• 📄 文本/JSON 文件→ UTF-8 文本
• 📦 其他→ Base64 编码的文件

🛠️ 开始

先决条件

• Node.js（v16或更高）
• NPM或纱线
• 谷歌云项目
• Google Workspace 或个人 Google 账户

谷歌云详细设置

1. 创建谷歌云项目

• 访问谷歌云控制台
• 点击“新项目”

Google Drive MCP Server

A powerful Model Context Protocol (MCP) server that provides seamless integration with Google Drive, allowing AI models to search, list, and read files from Google Drive.

🚀 Features

Tools

1. gdrive_search

Search for files in your Google Drive with powerful full-text search capabilities.

• Input:

  {
    "query": "string (your search query)"
  }
  

• Output: List of files with:
  • File name
  • MIME type
  • File ID
  • Last modified time
  • File size

2. gdrive_read_file

Read file contents directly using a Google Drive file ID.

• Input:

  {
    "file_id": "string (Google Drive file ID)"
  }
  

• Output: File contents with appropriate format conversion

Automatic File Format Handling

The server intelligently handles different Google Workspace file types:

• 📝 Google Docs → Markdown
• 📊 Google Sheets → CSV
• 📊 Google Presentations → Plain text
• 🎨 Google Drawings → PNG
• 📄 Text/JSON files → UTF-8 text
• 📦 Other files → Base64 encoded

🛠️ Getting Started

Prerequisites

• Node.js (v16 or higher)
• npm or yarn
• A Google Cloud Project
• A Google Workspace or personal Google account

Detailed Google Cloud Setup

1. Create a Google Cloud Project

   • Visit the Google Cloud Console
   • Click “New Project”
   • Enter a project name (e.g., “MCP GDrive Server”)
   • Click “Create”
   • Wait for the project to be created and select it

2. Enable the Google Drive API

   • Go to the API Library
   • Search for “Google Drive API”
   • Click on “Google Drive API”
   • Click “Enable”
   • Wait for the API to be enabled

3. Configure OAuth Consent Screen

   • Navigate to OAuth consent screen
   • Select User Type:
     • “Internal” if you’re using Google Workspace
     • “External” for personal Google accounts
   • Click “Create”
   • Fill in the required fields:
     • App name: “MCP GDrive Server”
     • User support email: your email
     • Developer contact email: your email
   • Click “Save and Continue”
   • On the “Scopes” page:
     • Click “Add or Remove Scopes”
     • Add https://www.googleapis.com/auth/drive.readonly
     • Click “Update”
   • Click “Save and Continue”
   • Review the summary and click “Back to Dashboard”

4. Create OAuth Client ID

   • Go to Credentials
   • Click “Create Credentials” at the top
   • Select “OAuth client ID”
   • Choose Application type: “Desktop app”
   • Name: “MCP GDrive Server Desktop Client”
   • Click “Create”
   • In the popup:
     • Click “Download JSON”
     • Save the file
     • Click “OK”

5. Set Up Credentials in Project

   # Create credentials directory
   mkdir credentials
   
   # Move and rename the downloaded JSON file