Enables natural language task management including logging, updating, and summarizing productivity activities across multiple categories using a local SQLite database. It allows users to manage workflows and generate time-based summaries through standardized Model Context Protocol tools.
Enables AI assistants to interact with SQLite databases by executing read and write queries, listing tables, and inspecting schemas. It provides a secure, local interface for database management and data retrieval through the Model Context Protocol.
Enables AI agents to connect to and query an SQLite database through the Model Context Protocol, allowing natural language interaction with database tables and data.
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.
Enables AI agents to manage hierarchical tasks and stories stored as Markdown files, providing tools for creating, listing, editing, and updating task status through the Model Context Protocol.