Excel Reader Server
by MCP-Mirror
The Excel Reader Server is a Model Context Protocol (MCP) server designed to read and extract data from Excel (xlsx) files. It provides tools to access data from all sheets or specific sheets by name or index, returning the data in JSON format.
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What is Excel Reader Server?
The Excel Reader Server is an MCP server that allows you to programmatically read and extract data from Excel (xlsx) files. It provides a simple API to access data from all sheets or specific sheets by name or index.
How to use Excel Reader Server?
Install the server using pip or uv (recommended). Then, use the provided tools (read_excel, read_excel_by_sheet_name, read_excel_by_sheet_index) by sending a JSON payload with the file path and optional sheet name or index. The server will return the data in JSON format.
Key features of Excel Reader Server
Read content from all sheets
Read content from a specific sheet by name
Read content from a specific sheet by index
Returns data in JSON format
Handles empty cells and data type conversions
Use cases of Excel Reader Server
Data migration from Excel to other systems
Automated data analysis and reporting
Integration of Excel data into web applications
Building data pipelines that consume Excel files
FAQ from Excel Reader Server
What file types are supported?
What file types are supported?
The server supports .xlsx files.
What Python version is required?
What Python version is required?
Python 3.10 or higher is required.
How are empty cells handled?
How are empty cells handled?
Empty cells are represented as empty strings in the JSON output.
What happens if the sheet name is invalid?
What happens if the sheet name is invalid?
The server will return an error message indicating an invalid sheet name.
What is the format of the returned data?
What is the format of the returned data?
The server returns data in JSON format, where each sheet is a key and the value is an array of arrays representing the rows and columns.