Software Alternatives & Startups

Sheetson VS datatomcp

Compare Sheetson VS datatomcp and see what are their differences

Sheetson

Instantly turn any Google Sheet into RESTful API

Rating
0 reviews
Pricing
Freemium
datatomcp

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

Rating
0 reviews
Pricing
Freemium $12 / Monthly (Free: 3 datasets × 100,000 rows. Pro: $12 or €12 a month)

Which is more popular?

Based on our record, Sheetson seems to be more popular. It has been mentioned 6 times since March 2021.

social mentions
6 vs 0
Google Sheets popularity
100% vs 0%
alternatives listed
132 vs 7

Base details

Website, pricing, platforms and company facts side by side.

Sheetson
datatomcp
Website sheetson.com datatomcp.com
Pricing
Freemium $12 / Monthly (Free: 3 datasets × 100,000 rows. Pro: $12 or €12 a month) Official pricing
Platforms
REST API Generic HTTP API
Web
Company — Startup from the Netherlands · 1 - 9 employees · 2026
Listed in

About Sheetson and datatomcp

In their own words, as submitted to SaaSHub.

Sheetson
datatomcp

No description of Sheetson yet.

datatomcp turns a CSV file or Google Sheet into a data source that AI agents and apps can query. Upload a CSV, paste a CSV link or pick a Google Sheet. The data is loaded into a database (DuckDB), and an import report lists problems such as broken lines, numbers stored as text and mixed date...

Read more about datatomcp

Features and specs

What each product offers, as listed by its team.

Sheetson 5 features
datatomcp 6 features
  • Ease of Use
    Sheetson enables users to interact with Google Sheets as a RESTful API endpoint, making it straightforward for developers to integrate spreadsheet data into their applications without complex setup.
  • No Authentication Required
    Unlike many other services, Sheetson does not require OAuth for access, simplifying the initial setup and usage.
  • Real-time Data
    Data in Google Sheets can be updated in real-time and Sheetson APIs can instantly reflect these updates, providing up-to-date information without delay.
  • Cost-Effective
    Sheetson offers a free tier, making it an affordable option for small projects and startups needing basic interaction with Google Sheets.
  • Flexible Integration
    Sheetson supports a broad range of programming languages and can be used in various types of applications, from websites to mobile apps.
  • Remote MCP server
    Streamable HTTP with OAuth sign-in, works in Claude, ChatGPT, Cursor, VS Code and other MCP clients
  • REST API
    Same queries over HTTPS with API keys, for apps, n8n and Make
  • Google Sheets sync
    Pick a private sheet in Google’s file picker; on-demand refresh, hourly on Pro
  • CSV import
    Upload a file or paste a CSV link, up to 2 million rows per dataset on Pro
  • Import report
    Flags broken lines, numbers stored as text and mixed date formats
  • Exact aggregates
    Filter, group, count, sum, average, min and max computed by DuckDB

Videos

Walkthroughs and reviews on video.

Sheetson 0 videos + Add
datatomcp 1 video + Add

No Sheetson videos yet. You could help us improve this page by suggesting one.

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Sheetson
datatomcp
100% 100%
0% 0%
0% 0%
100% 100%
85% 85%
15% 15%
100% 100%
0% 0%

Questions & Answers

As answered by people managing Sheetson and datatomcp.

Which are the primary technologies used for building your product?

datatomcp's answer:

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.

What makes your product unique?

datatomcp's answer:

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.

Why should a person choose your product over its competitors?

datatomcp's answer:

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.

How would you describe the primary audience of your product?

datatomcp's answer:

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.

What's the story behind your product?

datatomcp's answer:

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.

User comments

Share your experience with using Sheetson and datatomcp. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Sheetson 6 mentions
datatomcp 0 mentions

View more

Tracking datatomcp since Oct 2026.

Alternatives to Sheetson and datatomcp

When comparing Sheetson and datatomcp, you can also consider the following products.