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

Enables local EPUB reading with AI agents, supporting annotations, parallel editions, and MCP tools.

A 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

MCP server for parsing Chinese fuzzy time expressions (e.g., '昨天', '下午3点', '中秋节') into standard datetime formats.

A traceable Chinese-history MCP server that enables querying of nine classical Chinese texts (e.g., 史记, 汉书) with citations and honest status labels. It provides four tools to search events, persons, places, and qualities, all with provenance.

A powerful MCP server for Excel operations with seamless Supabase Storage integration.

Enables AI agents to manage and publish content across multiple Chinese social media platforms including Xiaohongshu, Douyin, WeChat, Weibo, Zhihu, and Bilibili.

Provides real-time quotes, fund flows, and corporate announcements for Chinese A-share stocks. It enables users to search for stocks, analyze financial indicators, and summarize quarterly reports through natural language.

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

Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

Enables LLMs to work with Excel and CSV files through structured tools for workbook operations, formatting, charts, ETL, analysis, and more.

Enables AI clients to read, write, and manage Excel workbooks (.xlsx/.xlsm) directly via openpyxl, with comprehensive tools for data, formatting, formulas, charts, and more.

AI-powered video editing toolkit: scene splitting, subtitle generation, thumbnail planning, color grading, and aspect ratio conversion.

A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.

Local MCP server that connects Claude to real Excel .xlsx files for financial and operational analysis. Enables reading, comparing, cleaning, reconciling, and writing to Excel files without cloud dependency.

Enables AI agents to read real Excel files with messy layouts, auto-detecting header rows and handling merged cells to extract clean tabular data via MCP tools.

Enables AI agents to analyze Excel files through atomic operations like filtering, aggregation, and grouping without loading raw data into context.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Enables normalizing arbitrary Excel spreadsheets with varied headers into 19 canonical fields and clean JSON, with optional LLM disambiguation and offline fallback. Exposes MCP tools for use in Claude, Cursor, and Windsurf.