Sheet Parser

About

This Python-based server empowers AI agents to seamlessly interact with spreadsheet data by leveraging the Model Context Protocol (MCP). It acts as a bridge, allowing agents to parse, convert, and modify various spreadsheet formats like XLSX, CSV, XLS, XLSM, and XLSB via JSON-RPC communication over standard I/O. This capability enables AI to understand complex tabular data, automate data processing tasks, and integrate spreadsheet management directly into AI-driven workflows, providing core tools for data extraction, visualization, and persistent modification.

Key Features

• Communicates with MCP-compatible clients (e.g., Claude Desktop) via standard input/output (stdio) using JSON-RPC.
• Parses spreadsheet files (XLSX, XLSM, XLS, XLSB, CSV) into structured JSON objects for AI context.
• Applies AI-modified JSON data back to the original spreadsheet files.
• 3 GitHub stars
• Converts spreadsheet files into HTML, preserving original styles for visualization.
• Optimized data parsing to return overviews (dimensions, column names, preview) to save AI tokens, with options for full data and style inclusion.

Use Cases

• Allow AI agents to parse and summarize large spreadsheet files to extract key information.
• Enable AI to convert complex data tables into visual HTML formats for easier human review.
• Automate data modification tasks, such as updating inventory numbers or correcting entries, directly within spreadsheet files via AI commands.