"The most widely used models" matching MCP servers:

The most feature-complete MCP server for Obsidian vaults. 23 tools and 3 resources for search, read, write, tags, link analysis, graph traversal, and canvas support.

Provides LLMs with access to molt-md, an encrypted markdown document hosting service, for managing and reading secure knowledge bases. It enables users to create, update, and organize encrypted documents into workspaces with full version control and end-to-end encryption.

A simple note-taking MCP server for recording and managing notes with AI models.

An unofficial bridge that enables AI models to interact with the LunaTask API for managing tasks, notes, journal entries, and contacts. It supports creating and updating productivity data while respecting LunaTask's end-to-end encryption for sensitive fields.

This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.

Enables AI assistants to read, search, create, and organize notes in an Obsidian vault, with features like summarization and daily most valuable notes identification.

Enables AI models to interact with the Get笔记 (GetNotes) platform via its Open API. It supports managing notes, organizing knowledge bases, and handling tags through natural language commands.

Enables AI models like Claude to manage local prompt files with CRUD operations, fuzzy search, categorization, templates, version control, and favorites.

Enables AI models to interact with SiYuan Note systems, allowing management of notebooks, documents, blocks, files, and more through natural language.

A Python package that enables LLM models to interact with Memos server through the Model Context Protocol interface, allowing search, creation, retrieval, and management of memos.

A TypeScript-based server that integrates with Anki via the AnkiConnect plugin, allowing you to manage flashcard decks, note models, and create Anki notes using natural language.

Connects Obsidian vaults stored in iCloud Drive to AI models via the Model Context Protocol, allowing AI assistants to access and interact with your Obsidian notes.

Enables large language models like Claude to automatically generate flashcards and sync them with Anki decks via a Dockerized MCP server using the AnkiConnect add-on.

An MCP server implementation that integrates with SiYuan Note system, enabling AI models to access and manipulate note data through comprehensive commands for notebook management, document operations, and content manipulation.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes through Claude Desktop.

This server provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.

Enables AI assistants to read and write a local, encrypted-by-default memory store, so they can share persistent notes and context across sessions and models on your machine.

Enables interaction with the Anki desktop flashcard application through the Anki-Connect plugin. Supports managing decks, cards, notes, and models, allowing AI assistants to create and query flashcards through natural language.

Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.

Enables language models to access and manage Raindrop.io bookmarks, collections, tags, and highlights through the Model Context Protocol.