"Enabling General Models to Think" matching MCP servers:

Model Context Protocol (MCP) server for Joplin note-taking app, enabling AI to read, search, and modify notes via sandboxed scripts.

Connects Zotero and Obsidian for an AI-assisted academic reading workflow, enabling paper fetching, structured note creation, highlight syncing, and review management.

A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

A Model Context Protocol server that wraps the official Obsidian CLI to allow AI agents to read, write, search, and manage notes within an Obsidian vault. It provides 16 specialized tools for comprehensive vault interaction, including note management, task tracking, and metadata manipulation.

Converts XMind mind map files into structured Markdown documents, preserving hierarchy and optionally including metadata.

An MCP server for Notion API with optimized token efficiency and full database property filtering, enabling AI assistants to manage pages, databases, and blocks.

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

A local-first MCP server that provides a shared Markdown-based memory for AI coding agents, enabling cross-agent context persistence via tools like memory_search and memory_capture.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

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 Model Context Protocol server that connects Claude Desktop to AI Note task management, enabling task creation, updates and management through natural language conversations.

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.

A session-based thinking workspace for Claude that preserves and structures reasoning text. Supports structured session names, search, and persistent storage for complex problem-solving.

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

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Enables AI assistants to manage notebooks, sources, notes, search content, and interact with AI models through Open Notebook.

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

MCP server that gives AI models read/write access to Obsidian vaults with semantic search, link graph analysis, canvas manipulation, and incremental indexing.

This TypeScript-based MCP server allows users to manage and interact with a note system through Model Context Protocol, enabling note creation and summarization with URIs and metadata.