The excel-mcp-server is a powerful Model Context Protocol server designed for manipulation of Excel files. It uses AI and automation to enhance productivity in data handling and analysis, making it an essential tool for professionals working with spreadsheets.
claude install haris-musa/excel-mcp-serverhttps://github.com/haris-musa/excel-mcp-server
["1. Prepare your Excel file with the data you want to analyze. Ensure the file is in a format compatible with the excel-mcp-server (e.g., .xlsx).","2. Open the Productiv platform and navigate to the 'Excel Analysis' section.","3. Upload your Excel file to the platform and specify the columns you want to analyze and the key metrics you are interested in.","4. Use the excel-mcp-server to generate a summary report, pivot tables, and visual representations of your data.","5. Review the generated report and visualizations to identify trends, anomalies, and key insights. Use these insights to inform your decision-making and strategy."]
Automate repetitive data entry tasks in Excel to save time and reduce errors.
Generate comprehensive reports from Excel data with minimal manual intervention.
Integrate Excel with other applications to create streamlined workflows across platforms.
Perform complex calculations and data analysis directly within Excel files.
claude install haris-musa/excel-mcp-servergit clone https://github.com/haris-musa/excel-mcp-serverCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I need to analyze the quarterly sales data in the attached Excel file [FILE]. The data includes columns for [COLUMNS]. Please generate a summary report highlighting [KEY_METRICS] and identify any trends or anomalies. Additionally, create a pivot table to break down the data by [CATEGORIES] and provide a visual representation of the findings using charts.
Based on the attached Excel file 'Q3_Sales_Data.xlsx', here is the analysis report: **Summary Report** - Total Sales: $1,250,000 - Average Sale: $1,250 - Top Performing Product: Product A with $450,000 in sales - Lowest Performing Product: Product D with $100,000 in sales - Notable Trend: Sales of Product A increased by 20% compared to Q2 **Trends and Anomalies** - There is a significant spike in sales for Product A in the last week of the quarter, which could be due to a promotional campaign. - Product D shows a consistent decline in sales, which may require further investigation. **Pivot Table** A pivot table has been created to break down the data by region and product category. The table shows that the North region has the highest sales, while the South region has the lowest. **Visual Representation** - A bar chart comparing sales by product category. - A line chart showing the sales trend over the quarter.
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