Automate task management and optimize workflows using AI on the IMCP server's deliberately vulnerable framework for hands-on learning and productivity enhancement.
Initialize and configure the Task Trellis system for task management. Choose local mode for single-user workflows or remote mode for team collaboration. Validates parameters, sets up storage, and prepares the system for task operations.
Retrieve system information like current date, timezone, or comprehensive details for AI assistants to enhance time-based queries and contextual accuracy.
Initialize and configure the task trellis system for operation in local or remote mode. Must be called before any other task management operations can be performed.
Enables AI agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).
A task management system that exposes CRUD operations for todos through a custom MCP protocol, enabling AI agents and CLI tools to create, read, update, and delete tasks using JSON-based communication over stdin/stdout.
A Model Context Protocol implementation that provides a standardized interface for task management, supporting both STDIO mode for CLI/AI applications and HTTP+SSE mode for browser-based clients.