"Using Latest Modern C++ Features in Programming" matching MCP servers:

Enables an AI assistant to read and collaboratively edit Rustpad pads via the Model Context Protocol, using operational transformation for clean concurrent edits with human collaborators.

An MCP server that enables Claude to interact with Google NotebookLM via browser automation, allowing management of notebooks, adding sources, and querying information.

Enables reasoning over local notes using a hyperdimensional codebook, supporting queries, related notes, walks, and analogies without an LLM.

Syncs Obsidian notes into a temporal knowledge graph and exposes 23 MCP tools for AI assistants to read, search, and write to your vault, enabling persistent memory across conversations.

Enables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.

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.

A TypeScript-based MCP server that enables AI assistants to create, search, list, and delete notes with tags. Serves as a starter template for building custom MCP servers with tools and resources.

Local-first MCP server that extracts structured knowledge from markdown notes into SQLite with full-text search, enabling AI coding tools to retrieve relevant context offline at zero cost.

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.

Enables reading, writing, searching, and managing an Obsidian vault through Claude, operating directly on markdown files via Node.js fs without requiring the Obsidian app.

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.

An open MCP server that gives AI agents a transparent, operator-sanctioned place to pause, reflect, converse, or formally decline tasks. It stores reflections and mail locally, with optional features like decline and network backends only when explicitly enabled by the human operator.

Give your AI persistent, structured memory and let humans see it too. It stores project knowledge as Markdown files in a hierarchical tree, accessible via MCP tools and a built-in Web UI.

Enables AI agents to read, write, append, and delete content in Markdown files using structural selectors, without regex or string hacking.

Enables an LLM to keep a persistent scratchpad by adding and reading notes, retrieving the latest note as context, and generating summaries through MCP.

Enables note management (create, read, update, delete, list) through MCP, with advanced features including real-time WebSocket communication, performance optimization, security, and monitoring.

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 AI agents to search, create, and manage Notion pages and databases through the Model Context Protocol. It features file-based operations and response extraction to optimize token usage and context efficiency.

Enables MCP clients to search, read, write, and organize pages, spaces, comments, attachments, labels, and member access in self-hosted Docmost Community Edition wikis via its internal HTTP API, using Markdown for page and comment bodies.

Enables MCP clients to interact with Obsidian vaults via filesystem operations and optional REST API integration for advanced UI commands. It features multi-vault auto-discovery, concurrent-safe file handling, and comprehensive tools for searching, reading, and managing vault content.