"The Models Resource" matching MCP servers:

MCP server for a self-hostable personal planner — exposes memo, todo, calendar event, and cross-resource full-text search tools so Claude, Cursor, or any MCP client can manage your schedule and notes in natural language.

A minimalist and elegant Model Context Protocol (MCP) server for fast context memo capture, keyword search, dynamic resource digests, and AI prompt workflows.

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.

A note-taking knowledge base MCP server that enables CRUD operations on notes with tags, resource listing/detail, and prompt-based analysis and brainstorming.

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.

An MCP server for managing and persisting notes, offering CRUD operations, note summarization, and resource-based access via a note:// URI scheme.

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 simple note storage and management system that allows users to add, access, and summarize notes through a custom URI scheme. Supports creating summaries with configurable detail levels and provides real-time resource change notifications.

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.

PulseMCP Server is a TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and summarize text notes through Model Context Protocol with URI-based resource management and LLM summarization prompts.

A simple notes MCP server with resource access, note creation tool, and summary prompt.

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.

Enables MCP-compatible assistants to connect to a user's workspace, read across boards, notes, checklists, habits, money, meals, chores, and chat, and make scoped additions, changes, or removals with attribution.

Provides read-only access to the Riffado voice-recording archive, enabling listing, searching, and retrieving recordings with transcripts, AI summaries, key points, and action items.