Labsco
MCP SERVER

Sheet-Cello

by SurajChuabey

Read, write and restructure Google Sheets from a conversation: ranges and single cells, whole sheets, batch appends and column updates.

Spreadsheet & Tabular File Analysis
Summary
A spreadsheet you can talk to.

It covers both directions properly — batch reads that avoid one call per range, and writes that land on a row or a column you name — so a sheet can be maintained rather than only queried.

What it is

A Google Sheets server that works through a service account. It selects a spreadsheet, reads whole sheets or specific ranges, writes cells, appends rows in batches, updates a row by index or a column by key, and creates or deletes sheets.

What you get
  • A sheet selected to work in, and the sheets in the file listed
  • A whole sheet, one range, several ranges at once, or a single cell read back
  • A single cell set, a row replaced by its index, or a column updated or inserted
  • Rows appended in batches rather than one call each
  • Sheets created and deleted, and a range cleared before a refresh
Requirements

Python 3.10 or newer, a Google Cloud project with the Sheets and Drive APIs enabled, and a service-account JSON key whose path is given to the server through the environment. The spreadsheet has to be shared with the service account's email as an Editor before anything works.