"Information about Microsoft Excel or general excel-related content" matching MCP servers:

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.

Enables AI agents to read Excel files with full content extraction, including embedded images, cell data, formulas, and merged cells, returning multimodal content for vision-capable models.

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

Attaches to already-open Excel workbooks on Windows via COM to enable live editing of cells, ranges, formatting, and comments, without launching or closing Excel itself.

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

Provides Excel file manipulation capabilities. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.

An MCP server for safe .xlsx inspection and controlled workbook writes, enabling spreadsheet reads, search, filtering, aggregation, and preview-based writes with workspace confinement and audit logging.

Enables users to analyze local Excel and CSV files through natural language queries and a web dashboard while keeping data local. It supports saving specific analyses as reusable tools and building a custom analytics toolkit within Claude Desktop.

Enables MCP agents to read messy lab and instrument spreadsheet exports by detecting headers, cleaning table bounds, parsing decimal commas, preserving LOD/LOQ qualifiers, and returning JSON rows with column metadata.

Enables Claude to open, filter, search, summarize, and write local .xlsx, .xlsm, .xls, and .csv spreadsheets through ten tools, all running locally with no Microsoft Office installed. Access is sandboxed to folders you allow, with an optional read-only mode and an audit log of every file operation.

Enables reading and writing Excel workbooks (.xlsx) through MCP. Supports listing sheets, tables, pivot tables, reading cell data, exporting to CSV/text/Markdown, and creating/modifying Excel files.

Enables managing Excel files in Microsoft 365 (OneDrive/SharePoint) through Microsoft Graph API, including creating workbooks, adding worksheets, creating tables, and reading or adding table rows via MCP tools.

MCP server for reading and inspecting local Excel files (.xlsx, .xlsm, .xls, .xlsb, .ods) with tools for inspecting metadata, reading ranges, and profiling structure.

Enables users to create, inspect, analyze, format, and chart Excel workbooks by having the client LLM write Python that runs in a fresh, network-restricted Docker container. Exposes a single execute_python tool with access to openpyxl, pandas, numpy, and matplotlib, persisting files between calls.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

Enables Excel automation via natural language, providing session-based workbook management, data manipulation, formulas, charts, and formatting through the Model Context Protocol.

Enables AI coding agents to read Microsoft Planner and To Do tasks across multiple M365 tenants with proper authentication, and supports optional write operations limited to tasks the agent created.

Enables editorial content QA over the Model Context Protocol with four local tools that analyze readability, AI-sounding language, SEO on-page factors, and produce full reports where every finding includes an actionable fix.

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

Enables interaction with Prismic through tools for reading documents, managing media assets, and performing content migrations or updates. Supports the Prismic Content, Asset, Migration, and Custom Types APIs with secure write operations and multi-transport support.

MCP server for Microsoft Advertising (Bing Ads) REST API enabling agent-led campaign management and reporting. It provides tools to manage campaigns, ad groups, keywords, ads, budgets, and pull performance reports.

Multi-platform content distribution — draft posts, repurpose content, generate carousels, schedule, analyze performance, create threads. 7 MCP tools.

An MCP server for the Microsoft Advertising (Bing Ads) API. Gives an MCP client live read and management access to your Microsoft Advertising accounts — reporting, campaign structure, and full write operations.

Enables users to look up a Douyin creator by name, public ID, or profile URL and receive the latest video link, like/comment/favorite/share counts, a full timestamped transcript with an AI-reviewed correction and change log, and a content overview. Collection, media download, and local speech transcription are orchestrated as stdio MCP tools so Codex, WorkBuddy, and other compatible clients can run creator research and scheduled checks without extra API keys.

Enables local discovery of research topics, interviews users to uncover their unique perspective, and turns insights into content ideas and short-form Reel scripts.

Enables LLMs to manage your Microsoft 365 calendar, tasks, and email via Microsoft Graph API, acting as a personal secretary.

Enables AI agents to interact with Microsoft Fabric Real-Time Intelligence services, allowing for seamless data querying, analysis, and streaming capabilities.

Enables AI assistants to manage Microsoft Advertising accounts, including campaigns, ad groups, keywords, audiences, and reporting, with safety-first write controls such as opt-in mutations, draft-and-confirm workflows, spend ceilings, and audit logging.

Analyzes YouTube videos and X (Twitter) feeds to extract transcripts, generate takeaways, TLDRs, social hooks, and comic-style infographics, and syncs results to GitHub, all callable as MCP tools.

Read, write, analyze and test the VBA inside Excel, Word, PowerPoint and Access files, and edit the document around it. The file layer needs no Office installation and runs anywhere; running macros and tests needs Windows with Office.