taskqueue-mcp
If you are the rightful owner of taskqueue-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
MCP Task Manager is a Model Context Protocol server designed for AI task management, facilitating structured handling of multi-step tasks with optional user approval checkpoints.
MCP Task Manager is a robust tool for managing AI-driven tasks, providing a structured approach to handling multi-step projects. It allows for detailed task planning, progress tracking, and user approval at various stages. The tool is designed to integrate seamlessly with various LLM providers, enabling the generation of project plans using models like OpenAI's GPT-4, Google's Gemini, and Deepseek. With its enhanced CLI, users can inspect and manage tasks efficiently, ensuring that all tasks are completed and approved before a project is finalized. The system enforces strict status transition rules to maintain task integrity and documentation.
Features
- Task planning with multiple steps
- Progress tracking and user approval
- Enhanced CLI for task inspection and management
- Integration with multiple LLM providers
- Strict task status transition rules
Tools
list_projects
Lists all projects in the system
read_project
Gets details about a specific project
create_project
Creates a new project with initial tasks
delete_project
Removes a project
add_tasks_to_project
Adds new tasks to an existing project
finalize_project
Finalizes a project after all tasks are done
list_tasks
Lists all tasks for a specific project
read_task
Gets details of a specific task
create_task
Creates a new task in a project
update_task
Modifies a task's properties (title, description, status)
delete_task
Removes a task from a project
approve_task
Approves a completed task
get_next_task
Gets the next pending task in a project
mark_task_done
Marks a task as completed with details
