"Understanding Inference Models" matching MCP servers:

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

Saves the user's exact words as immutable, SHA-256-hashed captures before anything else, then derives events, entities, context cards, and causal hypotheses — every fact traceable to its verbatim source. Local-first personal memory for Claude Code, Codex, and any MCP client.

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 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.

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 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.

An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.

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.

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

Enables AI language models to interact with Microsoft OneNote via a standardized interface, supporting notebook and page management through natural language.

Persistent semantic memory server for Obsidian vaults, enabling AI agents to search, read, write, and explore notes with semantic understanding and incremental indexing.

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.

Allows AI models to interact with Obsidian notes through the Local REST API, enabling creation, reading, updating, searching of notes, and Git-based automatic backups.

A Model Context Protocol server that provides a standardized interface for AI models to access, query, and modify content in Notion workspaces.

A remote MCP server that enables language models to search, read, and write notes in an Obsidian vault organized with the PARA method, and save URLs as notes.