"Reading OneNote pages" matching MCP servers:

A Model Context Protocol server that enables AI language models like Claude to interact with Microsoft OneNote, allowing access to notebooks, creating pages, searching notes, and analyzing content directly through the AI interface.

Exposes two MCP tools (discover and execute) that enable agents to query an OpenAPI schema via natural language and execute matched API operations.

A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.

A local MCP server that gives Claude a durable reading room for EPUB and plain text books, enabling chunk-by-chunk navigation, annotations, progress tracking, and shared margin cards.

Enables a shared reading room where users and Claude can import EPUB or text books, read chunk-by-chunk, annotate passages, search, track progress, and resume from unread sections.

A mobile-first AI co-reading MCP server that lets users import novels or comics, sync reading progress with AI, and interact through comments, bookmarks, and notes.

Enables reading and exporting password-protected ShowDoc projects as Markdown through MCP tools, including probing access, listing pages, reading individual pages, full project export, and file export.

Enables creating, listing, and deleting temporary shared Markdown/HTML pages with 72-hour expiration. Supports local Node.js or Cloudflare Workers deployment with OAuth login.

A robust MCP server that transforms OneNote notebooks into an AI-accessible knowledge base for Gemini Spark, enabling natural language queries to list, read, and search notes via Microsoft Graph API.

An AI reading companion that curates next books based on the Chicago Plan curriculum and tracks user reading progress with personal tokens. It offers book recommendations, logging, coaching questions, and reading reports.

Enables AI agents to drive the 1C:Enterprise test client directly, opening forms, reading and modifying data, working with tables, and recording or replaying action scenarios. Connects to local or remote test clients over their network protocol without a testing manager.

Enables searching and reading AVEVA Customer Support Portal knowledge base articles, including tech notes, known issues, and error-message diagnostics, to ground AI answers in support content not found in public documentation.

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.

Official MCP server for UploadKit, the file-uploads platform for developers. Gives Claude Code, Cursor, Windsurf, and Zed first-class knowledge of UploadKit's 40+ open-source React components, Next.js route handler scaffolding, wiring, BYOS (S3/R2/GCS/B2) configuration, and full-text search across 88+ docs pages. Runs locally via npx — no API key, no telemetry, no config.

Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive

Enables AI assistants to interact with GroupMe conversations through agentic tools, including a unified inbox for groups and DMs, reading and searching message history, viewing highlights, sending messages, and liking or unliking messages.

MCP server that gives AI agents paid tools to de-risk costly actions: dependency vetting, x402 endpoint verification, JSON repair, and URL reading. Fronts the Guard HTTP API at guard.fabtally.com.

tooltrim reduces the tokens agents spend re-reading bloated tool results. Run it as an MCP server exposing compress and expand_tool_output, or as a gateway in front of any upstream MCP server: it re-exposes the upstream tools unchanged and shrinks each result (HTML/JSON/logs/tables) before it reaches the model, keeping the relevant content only.

Enables privacy-preserving web search and content extraction through a self-hosted SearXNG instance, aggregating 70+ engines and converting pages to Markdown for LLM use.

MCP server that connects AI assistants to your reMarkable tablet, enabling reading, searching, and traversing handwritten and typed notes via OCR.