"Working with Excel" matching MCP servers:

A plain-files brain template and MCP server that lets models read owned, portable working memory via list, read, and grep-style search tools.

Enables AI assistants to retrieve and cite South Korean national construction standards (KDS/KCS) with tables and formula images via the KCSC OpenAPI, and to use design decision trees, validation, and blank Excel templates directly in the chat interface.

Provides AI agents with Magento 2.4.8-p5 / PHP 8.3 technical standards, patterns, and review checklists via MCP tools, enabling them to reference the single source of truth when working on Magento projects.

Parses various document formats (PDF, Word, Excel, PowerPoint) into Markdown content using NiuTrans API, enabling extraction and reading of document text through natural language interactions.

A TypeScript server that enhances AI assistants' capabilities when working with Starwind UI components, providing tools for project initialization, component installation, documentation access, and more.

Helping coding agents never make mistakes working with public or private libraries without wasting the context window.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

Enables working with large documents of any size by intelligently segmenting them and using TF-IDF search to retrieve only relevant fragments, preventing context window saturation. Provides 31 domain-agnostic tools for document ingestion, semantic analysis, epistemological validation, and extraction verification across formats like PDF, EPUB, and HTML.

A Model Context Protocol server that converts various file formats (PDF, PowerPoint, Word, Excel, Images, etc.) to Markdown to make them accessible to LLMs.

MCP server providing parser-backed validation, parsing, documentation, and editor assistance for AI agents working with _hyperscript.

Enables AI assistants to extract and analyze text content from various document formats (PDF, DOCX, PPTX, XLSX) in local knowledge bases, and create new formatted Word and Excel documents with structured data and reports.

Enables AI agents to inspect and convert PDF, PowerPoint, Excel, and many other file formats into clean, structured Markdown, with chunking support for long documents.

Enables querying IETF documents, RFCs, working groups, and persons from the IETF Datatracker via MCP tools.

Enables AI assistants to read and extract text content from PDF, Excel, and Word documents via the Model Context Protocol.

Provides MCP tools to count, list, and read local documents in formats like PDF, DOCX, Excel, HTML, and TXT, enabling natural language-driven document statistics and content inspection via qwen_agent.

Provides access to markdown documentation for local NPM, Go, and PyPi packages as MCP resources or tools. It enables informed code generation by surfacing documentation directly from a project's working directory.

Enables comprehensive content analysis through web scraping, document processing (PDF, DOCX, TXT, RTF), screenshot analysis, and local Excel database management. Provides intelligent workflows for extracting, analyzing, and storing content from multiple sources with automated categorization and search capabilities.

Converts natural language specifications into working ladder logic and complete Studio 5000 projects, enabling AI-powered PLC programming with L5X and .ACD file generation, semantic search, and documentation access.

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Convert PDFs, Word documents, Excel/CSV files, and YouTube videos into clean, structured Markdown for AI agents, LLMs, and knowledge tools.