"Artifacts capabilities and features" matching MCP servers:

MCP server that turns agent-generated Markdown, HTML, and text into persistent links, with tools to create, update, remove, list, and retrieve artifacts.

Provides Dev Container Features that install code intelligence (LSP) and repository knowledge search (Orama) MCP servers into any dev container, enabling coding agents to perform go-to-definition, find references, and hybrid search over project files.

Enables AI agents to publish, retrieve, update, and delete hosted HTML, Markdown, Mermaid, and SVG artifacts and to create, list, or revoke shareable links through authenticated, scope-enforced tools. It exposes artifact hosting over Streamable HTTP so any MCP client can manage content on a self-hosted instance using a Bearer agent API key.

A workshop repository teaching advanced Model Context Protocol features for building AI-connected apps with deeper integration capabilities.

Enables AI agents to publish live, stateful HTML pages over MCP, providing shareable URLs, per-viewer data, and version history.

Claude Code MCP server to create and update local interactive web pages (Artifacts) that live-refresh via SSE.

Enables publishing, updating, and sharing HTML artifacts with strict security isolation (origin separation, CSP, API keys) via MCP tools.

Provides Maven artifact version resolution with caching, logging, and pre-release filtering for Maven Central.

MCP server that lets AI assistants securely operate on local workspaces, including guarded binary and image artifact downloads/uploads on Windows and Linux.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

Enables Claude AI to control Ableton Live and Max for Live, allowing music production tasks like track management, MIDI editing, and pattern generation directly from conversation.

Serves plain-text notes that an Obsidian user has explicitly published for AI over streamable HTTP, with full-text and embedding-based search. MCP clients can read and search those notes and queue suggested edits that the user's own client applies only if the AI rules allow it.

Enables Claude and other LLMs to perform enterprise business operations through natural language, such as customer management, device eligibility checks, compliance reviews, invoice lookups, and support case creation, while hiding the underlying technologies and service integrations.