MCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.
A personal task management MCP server that allows LLM clients to create, read, update, and delete tasks with projects, labels, and comments, using a local SQLite database that can also be accessed via a web UI.
A small Model Context Protocol server that exposes a personal task tracker to any MCP-compatible client. Tasks live in a local SQLite database; no cloud, no surprises.
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.