A local Model Context Protocol server providing backend tools for AI agents to manage projects and tasks with persistent storage in SQLite, enabling structured tracking of project tasks with dependencies, priorities, and statuses.
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.
Enables deterministic, SQLite-backed task and todo tracking across multiple project scopes via MCP tools, allowing agents to add, update, list, complete, and delete tasks without hand-editing text files.