"Guide to Reading and Editing Excel Files with Chinese Characters" matching MCP servers:

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 real-time AI editing assistance in the WordPress block editor, allowing Claude to proofread, review, edit, translate, compose, and prepare posts for publishing.

Enables AI assistants to read and write local Excel and CSV files, supporting editing, styling, and image insertion.

A mobile-first AI co-reading MCP server that lets users import novels or comics, sync reading progress with AI, and interact through comments, bookmarks, and notes.

An AI reading companion that curates next books based on the Chicago Plan curriculum and tracks user reading progress with personal tokens. It offers book recommendations, logging, coaching questions, and reading reports.

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

Enables AI assistants to read, write, format, and analyze Excel files with 34 tools, including real-time editing on macOS with Microsoft Excel.

Enables conversational data analysis of Excel/CSV files through natural language queries, powered by 395 Excel functions via HyperFormula and multi-provider AI. Supports advanced analytics, bulk operations, financial modeling, and large file processing with intelligent chunking.

Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.

An MCP server for performing Excel file operations including read, write, and manipulation, with enterprise security features and VS Code integration.

An MCP server that enables a private mobile-first reading experience in ChatGPT, managing multi-book shelves, reading progress, highlights, thoughts, and bookmarks, with secure cloud storage and AI co-reading of the current page.

Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.

Enables MCP clients to create and manipulate Excel workbooks programmatically, including sheets, cell data, formatting, formulas, charts, and pivot tables.

Enables read-only listing and reading of files in an Azure Files SMB share, enforcing each user's NTFS permissions per request.

Enables AI agents to read and query Excel files stored in SharePoint and OneDrive for Business, converting permission-matrix spreadsheets into structured JSON for automated QA workflows.

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.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

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.

Enables comprehensive Excel operations and financial calculations including investment analysis, rental property management, expense tracking, and automated financial reporting. Supports creating Excel workbooks with advanced financial formulas, cash flow projections, and tax calculations for accounting and finance workflows.

MCP server for reading Excel files (.xlsx, .xls) without requiring an API key. It returns row/column counts, column names, and a preview of the first five rows via the read_excel tool.