"Reading OneNote pages" matching MCP servers:

An MCP server that enables AI assistants to programmatically browse and interact with OneNote notebooks shared via web links through browser automation.

Enables finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.

Enables monitoring web pages for changes using Playwright, storing snapshots in SQLite, and optionally analyzing changes with an LLM for business impact assessment.

Fetches web pages and converts them to clean, LLM-ready Markdown, with optional JavaScript rendering and honest statuses when pages are blocked or need JS.

Enables assistants such as Claude Code, Codex, and Gemini CLI to drive a real browser over MCP — navigating, clicking, typing, and reading live pages from plain-English instructions. Supports optional proxy routing, persistent profiles for surviving logins, and reproducible browser identities via seeds.

Enables AI agents to drive a Chromium browser over MCP, reading pages as a numbered list of controls and performing actions like clicking, filling forms, and asserting page state without screenshots or API keys.

Enables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.

MCP server for scanning browser pages and collecting element locators (XPath, testId, CSS).

A read-only MCP server that automates Google Classroom web pages for accounts without OAuth access, enabling search and reading of courses, classwork, and attachments.

Enables exporting Apple Safari Reading List entries to JSON and adding new items via MCP on macOS.

Enables reading and managing WordPress sites via the WP REST API, including posts, pages, media, taxonomies, users, and arbitrary REST endpoints, with optional authenticated write operations.

MCP server that connects AI assistants to a supervised Firefox session routed through Tor, enabling browsing of HTTP(S) and .onion pages, reading content, taking screenshots, extracting forum data, and managing sessions.

Deploys a hosted, authenticated MCP server that lets AI assistants drive a real headless browser over HTTP, enabling navigation, clicking, typing, and reading pages without local browser setup.

Enables LLMs to retrieve and process web content by fetching URLs and converting HTML to markdown format. Supports chunked reading of large pages and can access both public websites and local networks.

Interact with Webflow sites, pages, and collections.

Free remote MCP server for fetching public web pages through a rotating proxy pool. Provides tools to scrape pages as Markdown, text, or HTML, check usage quotas, and service status.

Enables fully local, zero-cost autonomous research by planning questions, searching and reading web pages, generating cited summaries or reports, and retaining semantic memory across sessions.

Enables MCP clients to perform keyless web searches, extract fully rendered pages into clean Markdown, and automate a shared Chrome browser through page navigation, clicking, typing, reading, screenshots, and backtracking—all without API keys.

Enables fetching and rendering web pages via ScrapingBee, extracting structured data with AI, and scraping Google search results through MCP.

Enables AI models to interact with web pages through structured accessibility snapshots using Playwright. Deployable on Heroku for easy cloud hosting.