"How to interact with Excel files" matching MCP servers:

Generates formatted Excel (.xlsx) files from user requests and deposits them into Cleyrop project data.

The Excel to JSON MCP provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol.

The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format

Enables LLMs to automatically generate Excel files with custom structures, advanced formatting, multiple sheets, formulas, and charts from JSON schemas, with support for both local and remote deployment.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

Enables seamless reading, writing, and analyzing of Excel files through Model Context Protocol, with features for worksheet management, structure analysis, and automated caching.

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.

Provides efficient handling of large Excel files through automatic chunking and pagination, using MCP to enable seamless file reading and management features such as sheet selection and error handling.

An MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.

Enables AI models to search, read, and analyze Excel files from your local file system with support for multiple worksheets, text search, and JSON data conversion.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Enables AI assistants to create, read, write, and manipulate Excel files (.xlsx, .xlsm) without requiring Microsoft Excel, including support for charts, pivot tables, data import/export, and professional formatting across Windows, macOS, and Linux.

Enables game designers to manipulate Excel files using natural language or SQL, supporting cross-sheet operations, batch modifications, and game configuration management.

Provides Excel file manipulation capabilities without requiring Microsoft Excel installation, enabling workbook creation, data manipulation, formatting, and advanced Excel features.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Excel Power Pivot data models. Create and manage DAX measures, relationships, and more through natural language.

Enables AI agents to create, read, and manipulate Excel files without requiring Microsoft Excel installation. Supports comprehensive spreadsheet operations including formulas, formatting, charts, pivot tables, and data validation.

Demonstrates how to create a simple MCP server with streamable HTTP transport, featuring tools, prompts, and resources.

An MCP server that allows LLMs to read, analyze, and interact with Excel files through file operations, data discovery, and comprehensive analysis tools.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

An educational MCP server example demonstrating how to build a server that integrates with LLM clients like Claude Desktop.