Pricing

Pay per event + usage

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Google Sheets MCP Server

Try for free

Let Claude, Cursor or any MCP client read and write your Google Sheets: list tabs, read ranges, append or update rows, export an Apify dataset. Signs in with your own Google service account; failed calls are free.

Pricing

Pay per event + usage

Rating

0.0

(0)

Developer

Joshua White

Actor stats

Bookmarked

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Monthly active users

4 hours ago

Last modified

Categories

MCP servers

Integrations

Agents

You can access the Google Sheets MCP Server programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("oldjard/google-sheets-mcp").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Sheets MCP Server for Claude, Cursor & AI Agents API in Python

The Apify API client for Python is the official library that allows you to use Google Sheets MCP Server API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Google Sheets MCP Server API in JavaScript

Google Sheets MCP Server API through CLI

Google Sheets MCP Server OpenAPI definition

Google Sheets MCP Server API

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