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Google Sheets vs Dot (getdot.ai): AI Data Analyst

Google Sheets is an MCP server published by domdomegg. Marketplaces we read that list it: 1 (Official MCP Registry). Dot (getdot.ai): AI Data Analyst is an MCP server published by zurferr. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-30. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceGoogle SheetsDot (getdot.ai): AI Data Analyst
Official MCP Registry Listed
Version: 1.2.1
Downloads/month (npm): 1 971
Downloads/week (npm): 720
Forks (GitHub): 5
Stars (GitHub): 2
Not marked · First seen
Listed
Version: 1.0.2
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

Google Sheets vs Dot (getdot.ai): AI Data Analyst
FactGoogle SheetsDot (getdot.ai): AI Data Analyst
Marketplaces that list it11
Stars (GitHub) (differs)2 (better)0 (worse)
Forks (GitHub) (differs)5 (better)0 (worse)
Last release (differs)Not published2026-10-17
Where it runs (differs)On your machine (google-sheets-mcp)Remote server (app.getdot.ai/ai/mcp)
Transport (differs)stdioStreamable HTTP
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)4, secrets among them: 2Not published
LicenceNot statedNot stated
Repository (differs)github.com/domdomegg/google-sheets-mcpgithub.com/snowboard-software/getdot
Changes in the last 7 days00
First seen2026-10-112026-10-11
Endpoint at the last check (differs)no remote endpoint we checkResponded 12 h ago

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

Google Sheets

In its own words, on Official MCP Registry:

Allow AI systems to read, write, and query spreadsheet data via Google Sheets.

Dot (getdot.ai): AI Data Analyst

In its own words, on Official MCP Registry:

AI data analyst by getdot.ai. Ask your data warehouse in plain English; get SQL, answers and charts.

How to run each

Google Sheets As a local MCP server: npm package

Claude Code
claude mcp add --env "GOOGLE_ACCESS_TOKEN=<YOUR_GOOGLE_ACCESS_TOKEN>" --env "GOOGLE_CLIENT_ID=<YOUR_GOOGLE_CLIENT_ID>" --env "GOOGLE_CLIENT_SECRET=<YOUR_GOOGLE_CLIENT_SECRET>" --env "MCP_TRANSPORT=<YOUR_MCP_TRANSPORT>" --transport stdio google-sheets-mcp -- npx -y google-sheets-mcp

Requires: GOOGLE_ACCESS_TOKEN (secret), GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET (secret), MCP_TRANSPORT

Dot (getdot.ai): AI Data Analyst As a remote MCP server

Claude Code
claude mcp add --transport http dot https://app.getdot.ai/ai/mcp --header "X-API-KEY: <YOUR_X_API_KEY>"

Requires: X-API-KEY header

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Only Dot (getdot.ai): AI Data Analyst has a remote endpoint we check. How we check endpoints

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

The marketplaces of Dot (getdot.ai): AI Data Analyst publish no settings it asks for, so we do not compare settings.

What it can do: Google Sheets · What it can do: Dot (getdot.ai): AI Data Analyst · Compare two other plugins

Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built