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Officially verified details datatomcp

Query your CSVs and Google Sheets from any AI agent, over MCP or a REST API.

datatomcp

datatomcp Reviews and Details

This page is designed to help you find out whether datatomcp is good and if it is the right choice for you.

Screenshots and images

  • Image date //
    2026-10-21
  • Image date //
    2026-10-21
  • Image date //
    2026-10-21
  • Image date //
    2026-10-21
  • Claude answers with exact numbers from a Google Sheet //
    2026-10-21
  • Import report: every column checked before agents see the data //
    2026-10-21
  • Add one URL to Claude as a custom connector //
    2026-10-21

Features & Specs

  1. Remote MCP server

    Streamable HTTP with OAuth sign-in, works in Claude, ChatGPT, Cursor, VS Code and other MCP clients

  2. REST API

    Same queries over HTTPS with API keys, for apps, n8n and Make

  3. Google Sheets sync

    Pick a private sheet in Google’s file picker; on-demand refresh, hourly on Pro

  4. CSV import

    Upload a file or paste a CSV link, up to 2 million rows per dataset on Pro

  5. Import report

    Flags broken lines, numbers stored as text and mixed date formats

  6. Exact aggregates

    Filter, group, count, sum, average, min and max computed by DuckDB

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Questions & Answers

As answered by people managing datatomcp.
  1. Which are the primary technologies used for building datatomcp?

    TypeScript and Node.js, Hono, DuckDB with Parquet files, SQLite, the official MCP TypeScript SDK (Streamable HTTP), Better Auth for OAuth, and Astro for the website. Hosted in the EU.

  2. What makes datatomcp unique?

    It gives AI agents query tools instead of raw rows. The agent asks for a filter or a total, and a database (DuckDB) computes it, so answers on 100,000-row sheets are exact. Every result includes the dataset version, and messy data is flagged in an import report before any agent sees it. The same dataset works in AI clients over MCP and in apps over a REST API.

  3. Why should a person choose datatomcp over its competitors?

    Most Google Sheets API tools are built for reading and writing rows in apps. datatomcp is built for questions: filters, group-by and totals run on the server, and it works as a remote MCP server with OAuth in Claude, ChatGPT and Cursor. It is read-only by design and hosted in the EU. If you need to write rows back to a sheet, a CRUD tool like SheetDB or Sheety is a better fit.

  4. How would you describe the primary audience of datatomcp?

    People who keep business data in spreadsheets and want to ask an AI agent about it: operations and finance teams, analysts, founders, and developers building agents or automations in n8n or Make.

  5. What's the story behind datatomcp?

    I kept pasting spreadsheets into Claude and ChatGPT and getting totals that were close but not right. The model reads the rows and estimates. So I built a small service that puts the file in a real database and gives the agent a few safe query tools. It is built and run by one person in the Netherlands.

Videos

Connect a Google Sheet to Claude in 40 seconds (MCP)

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