"A server for finding information about Microsoft Office" matching MCP servers:

Enables creation and manipulation of Microsoft Office files (Excel, Word, PowerPoint) through natural language commands. Supports generating spreadsheets with formulas and charts, formatted documents with tables, and presentations with various layouts without requiring Office installation.

MCP server for tracking decision logs and open questions in AI-assisted projects, offering tools to fetch context, list decisions and open items, and draft new decisions.

AI-powered Office automation server that enables creating, editing, and processing Word, Excel, and PowerPoint documents through natural language instructions using Python-based libraries.

A local MCP server that lets Claude, Cursor, Codex, or any MCP client work with Office documents on your Mac: evaluate spreadsheet formulas, read/write XLSX and PPTX, extract structured DOCX content, and merge/split/protect PDFs. 100% local, no network calls, no account. 14 tools.

A server providing tools to read, write, and edit Microsoft Word (docx) files through the Model Context Protocol, allowing operations like complete document reading, content creation, targeted paragraph editing, and text insertion.

Provides tools to extract, convert, and generate Microsoft Office documents (Word, Excel, PowerPoint) via the Model Context Protocol, with support for reading, editing, and auditing document content.

AI-powered professional document generation server that creates Word and Excel documents with multiple themes, Mermaid diagrams, and Chinese national standards compliance, integrated via MCP protocol.

An MCP server that enables sending Markdown-formatted notifications to Microsoft Teams channels through a simple tool interface.

Enables reading, writing, editing, and converting Office documents (ODT, DOCX, ODS, XLSX, PDF, etc.) using MCP tools, with no external dependencies.

An MCP (Multi-Agent Conversation Protocol) server that enables interaction with Google's Managed Service for Microsoft Active Directory through its OpenAPI, allowing users to manage identity resources through natural language.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

This read-only MCP Server allows you to connect to Office 365 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/).

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

A comprehensive MCP server for PowerPoint manipulation enabling users to create, edit, and format presentations with 32 tools including templates, charts, images, and professional design features.

Enables management of Microsoft 365 users, licenses, and groups through Microsoft Graph API. Supports user provisioning, license assignment, group management, and automated M365 administration workflows.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.