"Artifacts capabilities and features" matching MCP servers:

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

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.

Provides AI assistants with access to TiddlyWiki wikis via HTTP API, supporting tiddler management (create, update, delete, search) and semantic search capabilities using Ollama embeddings for natural language queries.

MCP server that exposes Tencent IMA knowledge base capabilities, enabling RAG-based Q&A, file retrieval, note management, and web import through natural language.

Provides semantic search and knowledge graph capabilities for Obsidian vaults using Smart Connections embeddings.

Review-gated MCP sidecar for Markdown notes and incoming artifacts

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

Manages poetry catalogs with state-based tracking, thematic connections via nexuses, quality scoring across 8 dimensions, and submission tracking to literary venues, treating poems as artifacts with metadata stored in markdown frontmatter.

Enables interaction with Google's NotebookLM via the Model Context Protocol to manage notebooks, sources, and research tasks. Users can create, query, and summarize content, as well as generate artifacts like audio overviews and slide decks using natural language.

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.

Connects AI coding agents to Google NotebookLM, enabling querying notebooks, adding sources, and generating artifacts like reports, podcasts, and slide decks.

Local MCP server that automates an open Obsidian vault through Obsidian's official CLI, offering tools for note creation/update, search, tasks, daily notes, and organization. It uses MCP over STDIO, requires no cloud services, and provides safety/audit features for autonomous writes.

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.