Demonstrates stateful application patterns on the stateless MCP 2026-07-28 protocol, enabling request-scoped state, multi round-trip confirmations, and streaming progress updates across independent tool calls.
A task manager MCP server that demonstrates all three MCP primitives (tools, resources, prompts). Enables users to manage tasks, read task summaries and details, and run structured planning/review prompts through natural language.
Async MCP server for running long-running AI tasks with real-time progress monitoring, enabling users to start, monitor, and manage complex AI workflows across multiple models.