MCP Gsheet
This project is a Google Sheets server - side tool based on the MCP protocol, providing functions for reading and writing spreadsheet data.
rating : 2 points
downloads : 4.4K
What is the MCP Google Sheets Server?
This is an intermediate service that allows other applications to interact with Google Sheets spreadsheets through a standard protocol (MCP). It provides basic functions for reading and editing spreadsheets but does not involve file management operations.How to use the MCP Google Sheets Server?
You need to set up a Google Cloud service account and API permissions first, then start the service through simple command - line operations, and finally configure the connection in a client application (such as Claude Desktop) to use it.Use cases
Suitable for scenarios where Google Sheets data needs to be integrated into other applications, such as data analysis, automated report generation, data visualization, etc.Main features
List worksheets
Get a list of the names of all worksheets (tabs) in a specified spreadsheet.
Read cell data
Read data from a specified cell range, such as 'A1:B5' or 'Sheet1!C3:E10'.
Write cell data
Write data to a specified cell range, supporting data in a two - dimensional array format.
Advantages
Standardized interface: Provides a unified access method through the MCP protocol.
Security: Uses service account authentication without directly handling user credentials.
Lightweight: Focuses only on core spreadsheet operations without redundant functions.
Limitations
Does not support file management: Cannot create, delete, or move spreadsheet files.
Requires a Google Cloud service account: The setup process may be complex for non - technical personnel.
Only supports Python 3.11+ environment.
How to use
Prepare a Google Cloud service account
Create a service account in the Google Cloud Console, enable the Sheets API, and download the JSON key file.
Set environment variables
Set the path of the downloaded key file as the GOOGLE_APPLICATION_CREDENTIALS environment variable.
Install dependencies
Create a Python virtual environment and install the required dependencies.
Start the service
Start the server using the mcp command.
Usage examples
Get sales data
Read the latest data from the sales report spreadsheet.
Update inventory list
Write the latest inventory data to the spreadsheet.
Frequently Asked Questions
How to get the ID of a spreadsheet?
What permissions does the service account need?
Can multiple spreadsheets be operated on simultaneously?
Related resources
Google Sheets API Documentation
Official Google Sheets API documentation
Project code repository
Source code of the MCP Google Sheets Server
MCP protocol description
Official documentation of the Model Context Protocol

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