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.
A local MCP server that provides shared, real-time context across multiple AI agents via WebSocket and MCP resource notifications, enabling collaborative workspaces, memory, tasks, and messaging.
A lightweight MCP server that enables AI assistants to collect interactive user feedback via a browser window with full Markdown rendering and syntax highlighting.
MCP server that gives AI agents a durable identity, persistent browser, memory, and coordination tools, enabling them to maintain state across sessions and act on the live web.
A local MCP server that combines a browser mind map UI with a Streamable HTTP MCP endpoint, letting AI agents create, edit, and manage mind maps in real time through tools like mindmap_apply_op.