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Excel MCP Server

by yzfly
GitHub
Python
36
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Integrations

  • Utilizes NumPy for data analysis operations, enabling statistical calculations and numerical operations on Excel data.

  • Leverages pandas for Excel file operations, data manipulation, filtering, and pivot table creation across multiple file formats.

  • Built on Python, allowing execution of Python-based data analysis and Excel management operations.

Excel MCP Server

An MCP server that provides comprehensive Excel file management and data analysis capabilities.

Features

  • Excel File Operations
    • Read multiple Excel formats (XLSX, XLS, CSV, TSV, JSON)
    • Write and update Excel files
    • Get file information and sheet names
  • Data Analysis
    • Summary statistics and descriptive analysis
    • Data quality assessment
    • Pivot tables
    • Filtering and querying data
  • Visualization
    • Generate charts and plots from Excel data
    • Create data previews
    • Export visualizations as images

Installation

  1. Create a new Python environment (recommended):
# Using uv (recommended) uv init excel-mcp-server cd excel-mcp-server uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate # Or using pip python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate
  1. Install dependencies:
# Using uv uv pip install -e .

Integration with Claude Desktop

  1. Install Claude Desktop
  2. Open Settings and go to the Developer tab
  3. Edit claude_desktop_config.json:
{ "mcpServers": { "command": "uvx", "args": [ "mcp-excel-server" ], "env": { "PYTHONPATH": "/path/to/your/python" } } }

Available Tools

File Reading

  • read_excel: Read Excel files
  • get_excel_info: Get file details
  • get_sheet_names: List worksheet names

Data Analysis

  • analyze_excel: Perform statistical analysis
  • filter_excel: Filter data by conditions
  • pivot_table: Create pivot tables
  • data_summary: Generate comprehensive data summary

Data Visualization

  • export_chart: Generate charts
    • Supports line charts, bar charts, scatter plots, histograms

File Operations

  • write_excel: Write new Excel files
  • update_excel: Update existing Excel files

Available Resources

  • excel://{file_path}: Get file content
  • excel://{file_path}/info: Get file structure information
  • excel://{file_path}/preview: Generate data preview image

Prompt Templates

  • analyze_excel_data: Guided template for Excel data analysis
  • create_chart: Help create data visualizations
  • data_cleaning: Assist with data cleaning

Usage Examples

  • "Analyze my sales_data.xlsx file"
  • "Create a bar chart for product_sales.csv"
  • "Filter employees over 30 in employees.xlsx"
  • "Generate a pivot table of department sales"

Security Considerations

  • Read files only from specified paths
  • Limit file size
  • Prevent accidental file overwriting
  • Strictly control data transformation operations

Dependencies

  • pandas
  • numpy
  • matplotlib
  • seaborn

License

MIT License

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A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

An MCP server that provides comprehensive Excel file operations, data analysis, and visualization capabilities for working with various spreadsheet formats like XLSX, CSV, and JSON.

  1. Features
    1. Installation
      1. Integration with Claude Desktop
        1. Available Tools
          1. File Reading
          2. Data Analysis
          3. Data Visualization
          4. File Operations
        2. Available Resources
          1. Prompt Templates
            1. Usage Examples
              1. Security Considerations
                1. Dependencies
                  1. License

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