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Query spreadsheets in natural language with auditable, read-only structured analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "spreadsheet-qa-kit MCP server" yet — see the docs or source repo.
Inspect this spreadsheet’s schema and sample data, then tell me the total sales by region for 2024, identify the highest and lowest regions, and show your query steps.
Returns sales totals by region, the highest and lowest regions, and an auditable query and computation trace.
First review the spreadsheet schema and sample data, explain what each column likely represents, and point out which fields are suitable for calculating monthly retention.
Outputs field explanations, data interpretation, and recommended columns for retention analysis.
Using the schema and sample data, find records with negative order amounts, missing dates, or duplicated customer IDs, and count each issue type separately.
Returns anomaly categories, their counts, and structured query results that can be reviewed and verified.
Query, edit, and import SQLite data through a spreadsheet-like interface.
Connect to Google Sheets to read, write, create, and format spreadsheets.
Read live Google Sheets data for AI queries, reminders, and automation.
Enable AI to read, write, and manage Google Sheets data and formatting.
Let AI manage Google Sheets data via SheetsDB API with smart CRUD operations.
Use Claude to find, edit, and format Google Sheets with natural language.