"Microsoft Word word processing software" matching MCP servers:

A native TypeScript/Node.js MCP server providing low-level, high-performance control over Microsoft Edge via raw CDP WebSockets, bypassing heavy automation layers like Playwright or Puppeteer.

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

A powerful Model Context Protocol framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing.

Fetches webpages and returns clean, structured Markdown with metadata (title, author, publish date, description, domain, word count).

Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.

Enables MCP-aware AI agents to scrape web pages into markdown, screenshots, metadata, and links, map sites, run asynchronous scrape jobs, and check usage, with EU-hosted, GDPR-aligned processing.

Servo-powered MCP server for JS-aware web fetching, content extraction, crawling, and software-rendered screenshots — Chromium-free single binary.

Converts web pages and HTML strings into clean, LLM-optimized Markdown with metadata extraction and token estimation. It uses a lightweight, browserless approach to provide token-efficient output for more effective LLM processing.

Converts any URL to clean, token-efficient Markdown for AI agents. Strips ads, navigation, and scripts. Supports CSS selectors, batch processing (10 URLs), token counting, and smart caching.

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.

Controls Microsoft Edge to search X.com using an authenticated session, with validation to avoid returning stale content.

🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.

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.

Extracts and stores documentation content from Microsoft Learn and GitHub URLs into PocketBase with full-text search, metadata preservation, and automatic collection management for easy retrieval and organization.

Integrates Firecrawl web scraping capabilities including scraping, crawling, searching, extracting structured data, deep research, and batch processing with support for both cloud and self-hosted instances.

This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.

Enables extraction and processing of YouTube video transcripts from individual videos, channels, and playlists. Supports transcript search, batch processing, multiple output formats (JSON, text, SRT, VTT), and bulk operations across multiple videos.

Production-ready MCP server with 40+ tools — QR codes, PDFs, text processing, TTS, web scraping, image generation and more. Built for AI agents.

Enables web content extraction and Google Search through Google AI Studio's URL context functionality. Supports batch processing of multiple URLs and returns structured JSON output for web page text and image analysis.

Enables AI assistants to search and filter job listings across multiple platforms like Indeed, LinkedIn, and Glassdoor, returning structured results for easy processing.