"Information about rags or their uses" matching MCP servers:

A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.

Enables Claude Code to read, create, update, and delete Claude Cowork/claude.ai projects and their knowledge documents, including syncing local folders to projects, with safety features like backups and overwrite protection.

Builds a dynamic knowledge graph from your notes and uses LLM reasoning to discover blindspots, hidden cross-domain connections, track concept evolution, and spark creative inspiration.

Connects Claude Desktop to Notion and YouTube transcripts with one-click installation, enabling natural language queries about your pages and video content.

A headless MCP server for interacting with Obsidian vaults, enabling AI assistants to search, read, edit, and manage notes and their structure without a GUI.

NoteDiscovery is a self-hosted plain-markdown notes app (MIT, no telemetry) with a built-in stdio MCP server. The server exposes tools so AI clients (Claude Desktop, Cursor, etc.) can search, read, create, edit, tag, and instantiate templates against the same vault the web UI uses.

MCP server for intelligent, use-adaptive Obsidian vault search. It uses Hebbian learning and graph centrality to rank files by usage and relevance.

Enables MCP clients to interact with CalDAV calendars, letting users view schedules, find free time, create and update events, manage tasks and dated notes, and respond to invitations on their own server.

MCP server for JournalOwl that enables AI-powered journaling integration, allowing users to create, search, and browse journal entries, access weekly reviews, and get personalized suggestions directly from their AI assistant.

Enables Claude to query user-curated, dated memory entries stored locally, giving users direct control over what the AI remembers about them.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

Enables seamless interaction with Voicenotes through natural language, allowing users to search, create, edit, tag, and organize their notes via an MCP client like Claude.

Provides a read-only semantic layer over an Obsidian vault, enabling queries about projects, decisions, tasks, and related notes.

Local MCP server that automates an open Obsidian vault through Obsidian's official CLI, offering tools for note creation/update, search, tasks, daily notes, and organization. It uses MCP over STDIO, requires no cloud services, and provides safety/audit features for autonomous writes.

A Model Context Protocol server that enables AI assistants to search and access information stored in Kibela, supporting note search, retrieval, creation and updating.

Persistent memory server for MCP clients that lets AI assistants remember facts about users across sessions via a single markdown file, with tools to read, save, search, update, delete, and organize memory.

MCP server for Glanceway, the macOS menu bar information app, enabling AI assistants to read sources and items.

The MCP server transforms chats with Claude into journaling sessions, saving conversations locally and allowing the LLM to retrieve previous sessions to create continuity in discussions about daily activities.

Enables building and managing knowledge workspaces with tools for ingesting content from text, clipboard, or URLs and searching organized knowledge bases. Supports multiple configurable workspaces with separate inbox and knowledge directories for structured information management.

Enables interaction with Notion workspaces through the Notion API. Supports creating, retrieving, and updating Notion pages and their properties, allowing users to manage Notion content through natural language.