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.
GoogleSheet MCP Server
@Aryan1718
Basic information
About GoogleSheet MCP Server
This MCP server provides tools to interact with Google Sheets, allowing you to read, write, and update data in your spreadsheets.
#mcp-server#google-sheet
GoogleSheet MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryGoogleSheet MCP Server tools
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Overview
What is GoogleSheet MCP?
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.
How to use GoogleSheet MCP?
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.
Key features of GoogleSheet MCP
- List all spreadsheets shared with the service account
- Get detailed information about a specific spreadsheet
- Retrieve content from a specific sheet
- Generate realistic test data based on sheet attributes
- Add pre-formatted data (list or CSV formats) to a sheet
- Update existing records by matching ID or name
Use cases of GoogleSheet MCP
- Automate reading and writing spreadsheet data within AI agent workflows
- Populate sheets with generated test data for development or demos
- Update specific records in a spreadsheet by identifier without manual edits
- Build tools that list available sheets and inspect their structure
Frequently asked questions
How do I authenticate the server?
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.
What data formats are accepted when adding data to a sheet?
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`).
What should I do if I get authentication errors?
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.
Where do sensitive credentials live and how should they be protected?
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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