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MCP Excel
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MCP Excel

An MCP server project for providing clients with the ability to read Excel files
Developer toolsResearch and data#Excel reading#MCP service#Python script.Python
2.5 points
10.3K
Open Site

Overview

Installation

Content Details

Alternatives

What is the Excel Reader MCP Server?

This is a Model Context Protocol (MCP) server specifically designed to allow clients to read and process Excel files. It serves as a middleware service, simplifying the process of accessing Excel data.

How to use the Excel Reader MCP Server?

Add the server to your MCP environment through simple configuration, and then clients can access the content of Excel files via standard MCP protocol requests.

Applicable scenarios

Suitable for various application scenarios that require extracting data from Excel files, such as data analysis, report generation, data migration, etc. It is particularly suitable for business processes that need to automate the processing of Excel data.

Main features

Excel file reading
Supports reading Excel files in .xlsx and .xls formats, and extracting worksheets and data
MCP protocol integration
Fully compatible with the Model Context Protocol standard and can be seamlessly integrated into the existing MCP environment
Uvicorn server
Implemented based on the high - performance Uvicorn ASGI server, providing fast responses
Advantages
Simple and easy - to - use configuration method
High - performance Excel file processing ability
Standardized MCP protocol interface
Lightweight service design
Limitations
Currently only supports the read function and does not support writing to Excel
Requires Python environment support
Processing large Excel files may require optimization

How to use

Configure the MCP server
Add the configuration item of the Excel Reader server to your MCP configuration file
Start the MCP environment
Start the MCP environment containing the Excel Reader server
Client call
Send requests from the client via the MCP protocol to read Excel files

Usage examples

Read sales data
Extract the sales data of each region from the sales report Excel
Analyze employee attendance
Count the attendance of employees from the attendance Excel file

Frequently Asked Questions

Which versions of Excel files are supported?
How to process large Excel files?
Which dependencies need to be installed?

Related resources

MCP protocol documentation
Official documentation of the Model Context Protocol
GitHub repository
Source code of the Excel Reader MCP server
Python Excel processing guide
Tutorial on using Python to process Excel files

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "sql_access": {
      "command": "uv",
      "args": [
        "--directory",
        "%USERPROFILE%/Documents/GitHub/mcp-excel",
        "run",
        "python",
        "main.py"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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