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Use MCP to read, write, format, and batch edit Google Sheets.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.freema/mcp-gsheets" MCP server from askskill: Run: claude mcp add 'io-github-freema-mcp-gsheets' -- npx -y mcp-gsheets
Connect to Google Sheets, update cells A2:D20 in the 'Q2 Sales Summary' sheet with the new data I provide, and format the header row with bold text and a light gray background.
The specified range is updated and the header formatting is applied.
Read all rows from the 'Project Progress' sheet, count current tasks by owner, and provide a brief summary.
Returns the sheet data and a summary grouped by owner.
In Google Sheets, run a weekly report workflow: write this week's data, highlight overdue items in red, and then adjust column widths consistently.
Uses batch operations to complete data entry, highlighting, and layout adjustments.
Office workers or product managers can use it to batch update business data in Google Sheets and apply consistent formatting, reducing repetitive manual work.
Data analysts can read worksheet contents first, then use the results for summaries, checks, or downstream analysis. It fits workflows where spreadsheets are the data source.
Developers can integrate Google Sheets reading, writing, formatting, and batch operations into MCP workflows so AI can handle spreadsheet tasks directly.
This is an MCP server for the Google Sheets API. It supports reading, writing, formatting, and batch spreadsheet operations.
Based on the provided description, it supports read, write, format, and batch operations. For more detailed interfaces, see the source repository.
The provided materials do not specify installation steps, runtime requirements, or credential setup. Since it targets the Google Sheets API, check the source repository for exact prerequisites.
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