"Microsoft Excel Spreadsheet Software" matching MCP servers:

This read-only MCP Server allows you to connect to Microsoft Excel data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Microsoft Excel (https://www.cdata.com/drivers/excel/download/mcp).

Enables AI agents to query Microsoft Entra data using natural language, converting requests into Microsoft Graph API calls for read-only enterprise IT scenarios.

An MCP server that enables searching Merill's Weekly Microsoft AI Roundup archive with natural language queries, returning sourced excerpts, issue details, and tool mentions. It supports hybrid semantic and keyword search, issue retrieval, and archive browsing with no API keys required.

This read-only MCP Server allows you to connect to Microsoft Dataverse data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This read-only MCP Server allows you to connect to Microsoft Planner data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.

A Model Context Protocol (MCP) server that enables integration of joke delivery capabilities into Microsoft Copilot Studio and GitHub Copilot, allowing users to request and receive various types of jokes through natural language.

An MCP server that fetches jokes from multiple sources (Chuck Norris, Dad jokes, and Yo Mama jokes) and integrates with Microsoft Copilot Studio to create a humor-focused conversational experience.

Enables search and retrieval queries over a local LanceDB database, using OpenAI embeddings for vector search when an API key is set and plain text matching otherwise. It reads the database read-only and returns ranked hits, context blocks, table status, and version info over MCP stdio.

Enables AI agents to ingest and search private multimodal knowledge—documents, images, audio, and video—through one MCP endpoint, returning ranked, cited fragments with source, version, and byte range or timestamp. Supports hybrid vector and full-text retrieval with provenance-backed results and OAuth authentication.

Enables centralized access to Firecrawl, Exa, Qdrant, embeddings, Playwright browser automation, and MCP clients through a single token-protected HTTP and MCP interface.

Integrates Microsoft 365 enterprise data into GitHub Copilot and Claude Desktop using Microsoft 365 Copilot APIs. It enables natural language queries across SharePoint, OneDrive, emails, calendars, and Teams meetings while maintaining full enterprise permission enforcement.

MCP server for Microsoft SQL Server that lets LLMs explore schema and execute read-only SELECT queries, with optional stored procedure execution when explicitly enabled.

Turn YouTube, TikTok, X videos and websites into structured data. Skip the hassle of video transcription and data scraping. Our APIs help you build better software and AI products faster.

Enables AI assistants to search and retrieve transcripts from the Entra.Chat podcast about Microsoft Entra ID, with timestamped YouTube links and guest information.

Enables users to search and compare ALMA papers’ methods, recipes, settings, software usage, and parameter statistics, with citations and evidence pointers for verification.

Enables SQL querying over CSV and Excel files using DuckDB, providing tools to load files, inspect schemas, and run read-only queries via MCP.

A lightweight document parser MCP server that enables Claude to parse PDFs, Word, Excel, images (OCR), and other document formats with support for chunking and metadata extraction.

An MCP server that enables Microsoft Copilot Studio to fetch random jokes from multiple sources including Chuck Norris jokes, Dad jokes, and Yo Mama jokes.

Enables natural language search and analysis of uploaded PDF, CSV, and Excel documents using retrieval-augmented generation and MCP tools, providing contextual answers to user queries.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Offline AI-powered local file search MCP server for Windows. Searches inside document contents (Word, Excel, PDF, PowerPoint, HWP) using BM25 + dense vector hybrid search. 100% local, no cloud, no login, no telemetry.

Upload documents (Word, Excel, PDF, PowerPoint) to a vector RAG store and perform semantic search with page-level citations. Queries are free; ingestion costs credits at break-even pricing.

MCP server for indexing, semantic search, and generation of multi-format documents. Exposes 13 tools over JSON-RPC 2.0 so an LLM can search your local PDF, Excel, and Word files, and create or edit Excel and Word documents.

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.

Turns Excel/CSV folders into a traceable, read-only AI knowledge layer; provides deterministic data queries, schema discovery, and evidence-backed search via MCP.

Enables AI agents to extract text and structure from PDF, Word, and Excel documents as LLM-friendly Markdown or JSON, with tools for parsing files and listing supported formats.

An MCP server that integrates with Microsoft Copilot Studio to deliver random jokes from multiple sources including Chuck Norris, Dad jokes, and Yo Mama jokes upon user request.

Upload Word, Excel, PDF, or PowerPoint documents to a vector RAG store with vision-model extraction, then search semantically and retrieve chunks with page numbers for precise citations.

Enables AI agents to search and traverse a cross-referenced knowledge base covering Microsoft Dynamics 365 Business Central official docs, source code, guidelines, videos, and community blogs.

Enables AI to efficiently analyze and extract structured data from complex documents, especially Excel files, by providing tools like section reading and field mapping to reduce token usage and improve success rates.

A Model Context Protocol server that provides Chuck Norris and Dad jokes which can be integrated with Microsoft Copilot Studio and GitHub Copilot.

A Model Context Protocol server that delivers jokes on demand, allowing users to request various types of jokes (Chuck Norris, Dad jokes, etc.) from Microsoft Copilot Studio and GitHub Copilot.

An MCP server that delivers jokes on request, allowing Microsoft Copilot Studio and GitHub Copilot to serve different categories of jokes including Chuck Norris and Dad jokes through natural language queries.

Integrates with Microsoft 365 Copilot APIs to enable retrieval of content from SharePoint and OneDrive, document search across M365, and conversational AI interactions with your Microsoft 365 data while respecting access permissions.

An MCP server for Microsoft Copilot Studio that delivers jokes from multiple sources including Chuck Norris jokes, Dad jokes, and Yo Mama jokes upon user request.

Enables MCP clients to run three-stage drone logistics site selection, load CSV/Excel data, retrieve domain knowledge, reverse-geocode coordinates, and receive progress heartbeats for long-running tasks over stdio JSON-RPC.

A Model Context Protocol server that provides various jokes (Chuck Norris, Dad jokes, etc.) which can be integrated with Microsoft Copilot Studio and GitHub Copilot.

Enables AI agents to convert PDF, Word, PowerPoint, Excel, HTML, EPUB, Outlook messages and web pages into Markdown for LLM and RAG workflows. Runs over stdio or HTTP and reproduces Microsoft markitdown's output byte for byte without a Python environment.

Enables AI assistants to parse and search documents including PDF, Word, Excel, PowerPoint, and images via OCR, with support for semantic search and batch processing.