What prerequisites are required?
A Google Cloud project with the Drive and Sheets APIs enabled, and OAuth 2.0 credentials downloaded as `credentials.json`.
@seeun0210
基本情報
google drive mcp 서버를 만들어보자 일단 sheet부터
Read data from Google Sheets
A Model Context Protocol server that integrates with Google Drive and Google Sheets, allowing AI assistants to access spreadsheet data via the read-spreadsheet tool.
Create a Google Cloud project, enable the Drive and Sheets APIs, configure OAuth consent, download OAuth client credentials as credentials.json, run npm install then npm start from the project root. On first launch, follow the browser prompt to authorize access.
read-spreadsheet toolcredentials.json and token.json)—
A Google Cloud project with the Drive and Sheets APIs enabled, and OAuth 2.0 credentials downloaded as `credentials.json`.
Run `npm start` and follow the browser prompt to sign in and grant access. The authorization token is stored locally in `token.json`.
The server provides the `read-spreadsheet` tool for reading data from Google Sheets. More tools are promised in future updates.
In the project root directory: `credentials.json` (your OAuth client configuration) and `token.json` (generated after first authorization). Do not edit `token.json` manually.
The server uses OAuth 2.0 with a desktop application client type. The first run initiates a browser-based authorization flow; subsequent runs reuse the saved token.

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