Agent
Discoverability

datatomcp

Turn a CSV or Google Sheet into a dataset Claude can query: exact filters, groups and totals, without pasting the file.

View in the Claude registry
Integration details

Description

datatomcp hosts your tabular data for Claude. Upload a CSV, paste a CSV link, or pick a Google Sheet (private sheets work through Google's file picker, which grants access to that file only). Every import comes with a report: unparseable lines with their line numbers, numbers stored as text, mixed date formats. Nothing is converted until you confirm. Claude gets five read-only tools: list_datasets, describe_dataset, query_rows, aggregate and distinct_values. Totals and counts are computed by a database (DuckDB), so Claude reports numbers instead of estimating them from pasted text, and a 50,000-row sheet that is too big to paste into a chat can still be queried. Every result names the dataset version it came from. Free: 3 datasets, 100,000 rows each. Pro ($12 or €12 a month): 25 datasets, 2M rows each, hourly Google Sheets sync. Data is stored in the EU, read-only, and never sent to AI providers or used for training.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Enterprise Data Connectors & MCP Gateways

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-10-24
Tool count
5
Market
US
Agent DiscoverabilityClaude Discoverability Score

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Primary Subcategory
11 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1Salesforce - Beta96/100
2Blaze SQL70/100
3HubSpot70/100
4Pipedrive52/100
5PlanetScale52/100
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Tools

5 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

datatomcp Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve datatomcp's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are datatomcp alternatives on Claude?

As of 2026-10-28, datatomcp competes with Salesforce - Beta, Blaze SQL, HubSpot, Pipedrive, PlanetScale, Zoho CRM, Neon, Supabase and 54 more in Claude Enterprise Data Connectors & MCP Gateways, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.