What are the prerequisites for using GoogleSheet MCP?
You need Python 3.8 or higher, a Google Cloud Platform account, and a Google Sheet you want to interact with.

@Aryan1718
基本信息
This MCP server provides tools to interact with Google Sheets, allowing you to read, write, and update data in your spreadsheets.
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GoogleSheet MCP is a Model Context Protocol server that provides tools to read, write, and update data in Google Sheets. It is designed for developers who want to integrate spreadsheet data into AI-assisted workflows using a service account.
Install required Python packages, set up Google Cloud Platform credentials, enable the Google Sheets API, create a service account, and share your sheet with the service account email. Configure a .env file with your API key, then run mcp install main.py to start the server.
You need Python 3.8 or higher, a Google Cloud Platform account, and a Google Sheet you want to interact with.
You must create a service account in Google Cloud Console, download the JSON key as `credentials.json`, place it in the server directory, and share your Google Sheet with the service account’s email giving it Editor access.
Data can be provided as a list of lists (e.g., `[["value1", "value2"], ["value3", "value4"]]`) or as CSV text (e.g., `value1,value2\nvalue3,value4`).
Ensure the service account email is added as an editor to the spreadsheet, verify your `credentials.json` file is valid, and confirm the Google Sheets API is enabled in your project.
Credentials live in the `credentials.json` file and the API key in the `.env` file. Both must never be committed to version control, and API keys should be rotated regularly.

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