Google Sheets MCP Server

An MCP server that wraps the Google Sheets API -- list tabs, read ranges, append rows, overwrite ranges, and add dropdown (data validation) rules -- plus an optional scheduled script that scans Gmail for new messages matching a pattern and appends rows for the ones that match, skipping ones that look like rejections/negatives.

Originally built to maintain a job-application tracker (new interview/offer emails in, auto-filtered rejections out), but the server itself is generic: any project that needs programmatic Sheets read/write/dropdown access from an MCP client can use it as-is.

Features

• list_sheet_tabs -- list tabs, their IDs, row/column counts

• read_range -- read cell values from an A1-notation range

• append_rows -- append rows after existing data

• update_range -- overwrite an exact range

• set_dropdown_validation -- add a dropdown (data validation list) to a column

• monitor_job_responses.py -- optional incremental Gmail-to-Sheet monitor, safe to run on a schedule (dedupes via a local state file, skips rejections via keyword matching)

Related MCP server: Google Sheets MCP

Architecture

flowchart LR
    client["MCP client<br/>(Claude Desktop, etc.)"] -->|stdio / streamable-http| srv["server.py<br/>(FastMCP)"]
    srv -->|service account| sheets["Google Sheets API"]
    mon["monitor_job_responses.py<br/>(cron / Task Scheduler)"] --> gm["gmail_client.py"]
    gm -->|OAuth, read-only| gmail["Gmail API"]
    mon -->|append_rows| srv

Two independent credential paths: the Sheets side uses a service account (sheets explicitly shared with it), while the Gmail side uses a personal OAuth "Desktop app" flow -- personal Gmail accounts can't delegate to a service account, so the monitor authenticates separately with a read-only scope.

Prerequisites

• Python 3.10+

• A Google Cloud project with the Google Sheets API enabled

• A service account with a downloaded JSON key

• The target spreadsheet shared with that service account's client_email as Editor

Installation

git clone https://github.com/JasonEckardt/google-sheets-mcp-server.git
cd google-sheets-mcp-server
pip install -e .
cp .env.example .env

For development (tests + lint):

pip install -e ".[dev]"

Edit .env:

GOOGLE_SERVICE_ACCOUNT_FILE=service_account.json
DEFAULT_SPREADSHEET_ID=your_spreadsheet_id_here

Place your service account key in this folder (matching the filename in .env). Never commit this file -- it's already gitignored.

Running the MCP server

Local / stdio (Claude Desktop, or any local MCP client)

python server.py

Claude Desktop config example (claude_desktop_config.json):

{
  "mcpServers": {
    "google-sheets": {
      "command": "python",
      "args": ["/absolute/path/to/server.py"]
    }
  }
}

Remote / Streamable HTTP

MCP_TRANSPORT=streamable-http python server.py

Some MCP clients (e.g. Claude's web/Cowork custom connectors) only accept remotely-hosted servers reachable over HTTPS, authenticated via OAuth 2.0 -- not a local stdio process and not a bare API key/bearer token. If you need that, you'll additionally need to:

1. Host this server somewhere with a public HTTPS URL (Cloud Run, Fly.io, a small VPS, etc.).

2. Put an OAuth 2.0 authorization server in front of it (the mcp Python SDK has built-in support for this via FastMCP(auth_server_provider=...), which handles /authorize, /token, and token verification for you -- you mainly need to implement client/token storage).

That's genuine infrastructure work, not a config toggle -- budget for it accordingly if your use case needs a hosted connector rather than local stdio.

Example: seeding a tracker sheet

examples/seed_tracker.py shows how to drive the server's tool functions directly from a plain Python script (no MCP client needed): it appends a few rows to a Tracker tab and adds a Status dropdown to column E. The data in it is fictional -- use it as a template.

Optional: scheduled Gmail monitor

monitor_job_responses.py searches Gmail for messages matching a keyword query, skips anything that looks like a rejection or that's already been processed, and appends the rest to the sheet with Status = "Needs Review" for you to confirm/correct.

Because personal Gmail accounts can't grant a service account access (domain-wide delegation only works on Google Workspace), it uses its own OAuth "Desktop app" credentials:

1. Enable the Gmail API in the same (or a different) Google Cloud project.

2. Create an OAuth client ID of type Desktop app, download it, save as gmail_client_secret.json in this folder.

3. Run python monitor_job_responses.py once, interactively -- it opens a browser for one-time consent, then caches a refresh token in gmail_token.json so future scheduled runs don't need a browser.

Then schedule it with cron or Task Scheduler, e.g.:

0 8 * * * cd /path/to/repo && python3 monitor_job_responses.py >> monitor.log 2>&1

Limitation: classification is keyword-based, not a language model -- it can catch obvious rejection phrasing but won't reliably distinguish subtler cases. Treat Needs Review rows as a draft, not ground truth.

Development

ruff check .   # lint
pytest         # unit tests (pure functions only -- no Google credentials needed)

CI runs both on every push/PR via GitHub Actions; a Jenkinsfile is also included for running the same pipeline on a Jenkins instance.

Roadmap

• OAuth 2.0 authorization layer for the streamable-http transport, so the server can be hosted publicly and registered as a remote MCP connector (the mcp SDK's auth_server_provider hook does most of the heavy lifting).

• Smarter response classification -- replace the keyword/regex rejection filter with an LLM pass so subtle "no news yet" vs. "interview scheduled" cases are handled correctly.

• Sheet-based dedupe state for the monitor, so scheduled runs don't depend on a local JSON state file.

Security

• service_account.json, gmail_client_secret.json, gmail_token.json, and .env are gitignored -- keep it that way, they're all credentials.

• The service account can only touch sheets/files explicitly shared with it.

• The Gmail OAuth token is scoped read-only (gmail.readonly).

• Rotate/revoke credentials in Google Cloud Console if ever exposed.

License

MIT -- see LICENSE.