Excel Reader MCP Server

by seanmars

Data/Analytics & Processing excel server openpyxl data extraction

This is a simple MCP server designed to read Excel files. It leverages the `openpyxl` library to extract data and return it in a structured format.

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What is Excel Reader MCP Server?

The Excel Reader MCP Server is a server application that reads data from Excel files and provides it in a structured format. It is designed to be used with the MCP (Modular Component Platform).

How to use Excel Reader MCP Server?

To use the server, you need to install it using the provided command: uv run mcp install server.py -f .env. Ensure you have a .env file in the root directory, using the .env.example as a template. The server will then be accessible via MCP.

Key features of Excel Reader MCP Server

Reads Excel files
Uses openpyxl library
Returns data in a structured format
Easy installation with MCP

Use cases of Excel Reader MCP Server

Data extraction from Excel spreadsheets
Integration with MCP-based applications
Automated data processing pipelines
Converting Excel data to other formats

FAQ from Excel Reader MCP Server

What is the purpose of the .env file?

The .env file stores environment variables required by the server, such as API keys or configuration settings.

What Excel file formats are supported?

The server uses the openpyxl library, so it supports the file formats supported by openpyxl, primarily .xlsx.

How do I access the data after it's read?

The data is returned in a structured format, which can be accessed through the MCP framework. Specific details depend on the MCP implementation.

Can I customize the data extraction process?

The provided information does not detail customization options. Customization would likely require modifying the server.py file.

What are the dependencies for this server?

The primary dependency is the openpyxl library. You will also need the uv tool for MCP installation.