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GoogleSheet MCP

GoogleSheet MCP

Local
github.com/Aryan1718Data & Analytics1Updated 79w ago

About GoogleSheet MCP

GoogleSheet MCP exposes tools for reading and changing Google Sheets data. It is for users who want MCP clients to inspect spreadsheets, add data, or update records through a service account.

Key features

  1. 01List shared spreadsheets
  2. 02Retrieve spreadsheet details
  3. 03Read sheet contents
  4. 04Generate sheet data
  5. 05Add and update records

Use cases

  1. 01Review sheet contents through an MCP client
  2. 02Add generated or prepared data to a sheet
  3. 03Update a record by ID or name

MCP support

The MCP server makes Google Sheets listing, retrieval, data-generation, insertion, and record-update tools available to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Google Sheets MCP Server

This MCP server provides tools to interact with Google Sheets, allowing you to read, write, and update data in your spreadsheets.

Prerequisites

  • Python 3.8 or higher
  • Google Cloud Platform account
  • A Google Sheet that you want to interact with

Installation

  1. Clone this repository:
git clone <your-repository-url>
cd mcp-server-demo
  1. Install the required packages:
pip install google-auth-oauthlib google-auth-httplib2 google-api-python-client
  1. Download and place credentials.json:
    • Download the credentials.json file from your Google Cloud Console
    • Place the credentials.json file in the same directory as main.py
    • Make sure the file is named exactly credentials.json

Setting up Google Cloud Platform Credentials

  1. Go to the Google Cloud Console

  2. Create a new project or select an existing one

  3. Enable the Google Sheets API:

    • Go to "APIs & Services" > "Library"
    • Search for "Google Sheets API"
    • Click "Enable"
  4. Create credentials:

    • Go to "APIs & Services" > "Credentials"
    • Click "Create Credentials" > "Service Account"
    • Fill in the service account details:
      • Name: Choose a descriptive name
      • ID: Will be auto-generated
      • Description: Optional description
    • Click "Create and Continue"
    • For Role, select "Editor" (or appropriate role for your needs)
    • Click "Continue" and then "Done"
  5. Create and download the key:

    • In the service account list, click on your newly created account
    • Go to the "Keys" tab
    • Click "Add Key" > "Create new key"
    • Choose "JSON" format
    • Click "Create"
    • The JSON file will be downloaded automatically
  6. Save the credentials:

    • Rename the downloaded JSON file to credentials.json
    • Place it in the mcp-server-demo directory
  7. Share your Google Sheet:

    • Open your Google Sheet
    • Click the "Share" button
    • Add the service account email (found in the client_email field of your credentials.json)
    • Give it "Editor" access

Running the Server

  1. Install the MCP server:
uv run mcp install main.py
  1. The server will start and be ready to accept commands.

Adding to Cursor

To add this MCP server to Cursor, follow these steps:

  1. Open Cursor
  2. Go to Cursor -> Preferences -> Cursor Settings -> MCP -> Add new global MCP Server
  3. Add the following configuration to your Cursor config file:
{
  "mcpServers": {
    "GoogleSheets": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}
  1. Restart Cursor for the changes to take effect

Screenshots

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Available Tools

List Spreadsheets
/tool list_spreadsheets

Lists all spreadsheets shared with the service account.

Get Spreadsheet Info
/tool get_spreadsheet_info "spreadsheet_id"

Gets information about a specific spreadsheet.

Get Sheet Content
/tool get_sheet_content "spreadsheet_id"

Retrieves the content of a specific sheet.

Generate Sheet Data
/tool generate_sheet_data "spreadsheet_id"  number_of_records

Generates realistic data based on the sheet's attributes.

Add Data to Sheet
/tool add_data_to_sheet "spreadsheet_id"  "data_string"

Adds pre-generated data to a sheet.

Update Sheet Record
/tool update_sheet_record "spreadsheet_id"  "identifier" "updates"

Updates a record in the sheet based on id or name matching.

Data Formats

For Adding Data

The data string can be in one of these formats:

  1. List of lists format: [["value1", "value2"], ["value3", "value4"]]
  2. CSV format:
value1,value2
value3,value4
For Updates

Provide the changes in format: column1=value1 column2=value2 Example: age=25 [email protected] phone=1234567890

Security Notes

  1. Never commit credentials.json to version control
  2. Keep your credentials secure
  3. Only share your Google Sheet with necessary service accounts
  4. Regularly rotate your credentials

Troubleshooting

Common Issues
  1. Authentication Errors

    • Ensure the service account email has been added as an editor to the spreadsheet
    • Verify that the credentials.json file is valid and not corrupted
    • Check if the Google Sheets API is enabled in your Google Cloud project
  2. Permission Errors

    • Make sure the service account has the correct permissions
    • Verify the spreadsheet is shared with the service account email
    • Check if the spreadsheet ID is correct
  3. Data Format Errors

    • Ensure the data format matches the expected structure
    • Check if the sheet has the required columns (id or name)
    • Verify the number of columns in the data matches the sheet

Support

If you encounter any issues or have questions, please:

  1. Check the error messages in the logs
  2. Verify your setup following the instructions above
  3. Ensure all prerequisites are met
  4. Contact [email protected]

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