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.
MCP Chain of Thought is a sophisticated task management system designed to enhance the programming workflow for AI agents. It leverages the Model Context Protocol (MCP) to provide a structured framework for task planning, analysis, and execution. The system is capable of breaking down complex tasks into manageable subtasks, managing dependencies, and tracking the status of each task. It also includes features for task verification and memory, ensuring that results meet specified requirements and that task history is stored for future reference. The Thought Chain Process allows for step-by-step reasoning, making it easier to tackle complex problems. Additionally, the system supports project rules to maintain consistency and offers an optional web GUI for enhanced user interaction.
Features
- Task Planning & Analysis: Deep understanding of complex task requirements.
- Intelligent Task Decomposition: Break down large tasks into manageable smaller tasks.
- Dependency Management & Status Tracking: Handle dependencies and monitor progress.
- Task Verification: Ensure results meet requirements.
- Task Memory: Store task history for reference and learning.
Tools
plan_task
Start planning tasks.
analyze_task
Analyze requirements.
process_thought
Step-by-step reasoning.
reflect_task
Improve solution concepts.
init_project_rules
Set project standards.
