A Model Context Protocol server that provides todo management via stdio, local HTTP, and public HTTPS transports, enabling agents to add, list, and complete tasks, and includes a daily standup skill.
A demo MCP server exposing an in-memory todo list via tools (add_task, list_tasks, complete_task), a resource, and a prompt, over both stdio and HTTP transports.
MCP server that enables running and managing file-based AI Skills, Agents, and Flow workflows as DAGs, with tools for listing, executing, and resuming tasks via stdio JSON-RPC.