Excel Reader Server
local-only server
The server can only run on the client’s local machine because it depends on local resources.
Integrations
Provides tools for reading and parsing Excel (.xlsx) files using Python, enabling extraction of data from entire workbooks or specific sheets by name or index.
Excel Reader Server
A Model Context Protocol (MCP) server that provides tools for reading Excel (xlsx) files.
Features
- Read content from all sheets in an Excel file
- 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
Installation
Requires Python 3.10 or higher.
Dependencies
- mcp >= 1.2.1
- openpyxl >= 3.1.5
Usage
The server provides three main tools:
1. read_excel
Reads content from all sheets in an Excel file.
2. read_excel_by_sheet_name
Reads content from a specific sheet by name. If no sheet name is provided, reads the first sheet.
3. read_excel_by_sheet_index
Reads content from a specific sheet by index. If no index is provided, reads the first sheet (index 0).
Response Format
The server returns data in the following JSON format:
- Each sheet is represented as a key in the top-level object
- Sheet data is an array of arrays, where each inner array represents a row
- All values are converted to strings
- Empty cells are represented as empty strings
Error Handling
The server provides clear error messages for common issues:
- File not found
- Invalid sheet name
- Index out of range
- General Excel file reading errors
License
This project is released under the MIT License. See the LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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A Model Context Protocol (MCP) server that provides tools for reading Excel (xlsx) files, enabling extraction of data from entire workbooks or specific sheets with results returned in structured JSON format.