keyurgolani/TasksMcp
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The MCP Task Manager is an advanced Model Context Protocol server designed to enhance task management for AI agents, providing features like complexity analysis, task breakdown, and seamless integration with AI environments.
Tools
Functions exposed to the LLM to take actions
create_list
Create new todo lists with simple parameters.
get_list
Retrieve a specific todo list by ID with optional filtering.
list_all_lists
Get all todo lists with basic information and filtering.
delete_list
Delete or archive a todo list (reversible by default).
add_task
Add new tasks with priority, tags, and time estimates.
update_task
Update task properties (title, description, duration).
remove_task
Remove tasks from lists.
complete_task
Mark tasks as completed with automatic progress tracking.
set_task_priority
Change task priority levels (1-5 scale).
add_task_tags
Add organizational tags to tasks.
search_tasks
Search tasks by text across titles and descriptions.
filter_tasks
Filter tasks by status, priority, tags, and other criteria.
show_tasks
Display formatted task lists with grouping and styling options.
analyze_task
AI-powered task complexity analysis with breakdown suggestions.
get_task_suggestions
Generate AI-powered task recommendations for lists.
set_task_dependencies
Set task prerequisites and relationships for workflow management.
get_ready_tasks
Find tasks ready for execution (no incomplete dependencies).
analyze_task_dependencies
Analyze project structure, critical paths, and bottlenecks.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client