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Query, analyze, and save daily store sales data from CSV files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Store Sales Data MCP Server" yet — see the docs or source repo.
List all available dates in the current CSV sales data and sort them from newest to oldest.
A list of available sales dates for selecting the analysis range.
Read the sales data for 2024-05-18, calculate total revenue and total units sold, then summarize units and revenue by item and identify the top 5 best-selling items.
Overall daily sales stats, per-item summaries, and a ranking of top-selling products.
Save the following store sales records as daily sales data for 2024-05-19 and confirm whether the save was successful: [{'item':'Coffee','quantity':32,'price':18},{'item':'Sandwich','quantity':14,'price':26}]The data is written successfully, with a save confirmation or an error message.
Analyze sales data in natural language, create charts, and export results.
Query local sales data and investigate anomalies with an inline review dashboard.
Analyze sales data, generate insights, dashboards, reports, and email them automatically.
Securely analyze online store SQLite data and sales metrics.
Analyze e-commerce data to uncover customer, product, delivery, and sales insights.
Query sales data via GraphQL for orders, customers, products, and analytics.