"A server for reading documents" matching MCP servers:

MCP server for Rootr markdown knowledge collaboration. Provides 27 tools for reading, writing, searching, and managing documents, issues, logs, and webhooks via natural language.

Extends LLM context windows by 15-60× using gravitational memory compression, enabling massive context extension for codebases, research papers, and long documents.

A multimodal local memory MCP server that lets AI agents search across text, PDFs, images, audio, and video using Gemini Embedding 2 and a local ChromaDB.

Enables persistent, auditable business operations state by storing knowledge, evidence, decisions, tasks, execution receipts, and review results in a local SQLite database, so different sessions can continue the same project.

A local-first knowledge base server that enables AI clients to store, retrieve, and manage documents using semantic search. Provides privacy-focused, offline-capable memory for AI assistants with tools for ingesting, querying, updating, and deleting knowledge.

Enables interaction with Yuque (语雀) knowledge base platform through their API. Supports document management, search, and repository operations including creating, reading, updating, and deleting documents in multiple formats.

A lightweight bridge server that connects WeChat Reading (WeRead) data with Claude Desktop, allowing seamless access to reading notes and book collections through natural language interactions.

Provides a document database with search, retrieval, and creation tools, and a task tracker with search and status filtering, enabling AI agents to manage documents and tasks via natural language.

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.

A Model Context Protocol server that exposes an Outline knowledge base to MCP clients. It enables searching, reading, writing, and commenting on documents through natural language.

MCP protocol server for managing multi-project Markdown documents, supporting project isolation and LLM tool integration.

Enables AI assistants to interact with Tencent Lexiang enterprise knowledge base for searching, reading, creating, and editing documents, managing files, and importing meeting recordings.

Enables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.

A modular MCP server that provides file search, URL fetching, text reading, knowledge base search, and image embedding tools, with a web interface powered by an Ollama agent.

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.

Provides a unified block-spindle-pscale function for reading, writing, and managing locks on JSON blocks across federated beaches, sed collectives, and bilateral grains.

MCP server for Confluence Cloud that enables searching, reading, managing documentation and linting for best practices.

A lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.

Provides a semantic memory layer that integrates LLMs with OpenSearch, enabling storage and retrieval of memories within the OpenSearch engine.

An MCP server that enables a private mobile-first reading experience in ChatGPT, managing multi-book shelves, reading progress, highlights, thoughts, and bookmarks, with secure cloud storage and AI co-reading of the current page.