liorfranko/mcp-chain-of-thought
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MCP Chain of Thought is an intelligent task management system based on Model Context Protocol (MCP), providing an efficient programming workflow framework for AI Agents.
Tools
Functions exposed to the LLM to take actions
plan_task
Initialize and detail the task flow, establish clear goals and success criteria, optionally reference existing tasks for continuation planning
analyze_task
Deeply analyze task requirements and systematically check the codebase, evaluate technical feasibility and potential risks. If code is needed, use pseudocode format providing only high-level logic flow and key steps, avoiding complete code.
reflect_task
Critically review analysis results, evaluate solution completeness and identify optimization opportunities, ensuring the solution aligns with best practices. If code is needed, use pseudocode format providing only high-level logic flow and key steps, avoiding complete code.
split_tasks
Decompose complex tasks into independent subtasks, establishing dependencies and priorities.
updateMode
- append: Keep existing tasks and add new ones
- overwrite: Delete unfinished tasks, keep completed ones
- selective: Intelligently match and update existing tasks based on name
- clearAllTasks: Clear all tasks and create a backup (preferred mode)
Key Requirements
- Provide concise pseudocode: Only provide high-level logic flow and key steps, avoid complete code
- Consolidate when necessary: Simple modifications can be integrated with other tasks to avoid excessive task count
- Submit in batches: If there are too many tasks, use the "split_tasks" tool with parameters not exceeding 5000 characters
list_tasks
Generate a structured task list, including complete status tracking, priority, and dependencies
execute_task
Execute a specific task according to the predefined plan, ensuring the output of each step meets quality standards
verify_task
Comprehensively verify task completion, ensuring all requirements and technical standards are met without missing details
complete_task
Formally mark a task as completed, generate a detailed completion report, and update the dependency status of related tasks
delete_task
Delete unfinished tasks, but does not allow deleting completed tasks, ensuring the integrity of system records
clear_all_tasks
Clear unfinished tasks and reset the task list
update_task
Update task content, including name, description and notes, dependent tasks, related files, implementation guide and verification criteria. Completed tasks only allow updating summary and related files
query_task
Search tasks by keyword or ID, displaying abbreviated task information
get_task_detail
Get the complete detailed information of a task based on its ID, including unabridged implementation guides and verification criteria, etc.
process_thought
Engage in a flexible and evolving thinking process by creating, questioning, validating, and refining ideas to progressively deepen understanding and generate effective solutions. When needing to gather data, analyze, or research, prioritize reviewing relevant project code; if such code doesn't exist, search the web rather than speculating. Set nextThoughtNeeded to false when thinking is sufficient, otherwise adjust total_thoughts to extend the process
init_project_rules
Initialize project rules. Call this tool when the user requests to generate or initialize the project specification file, or if the user requests to change or update the project specification.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client
