mcp-shrimp-task-manager
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MCP Shrimp Task Manager is an intelligent task management system based on Model Context Protocol (MCP), designed to enhance programming workflows for AI Agents.
Shrimp Task Manager is a sophisticated tool that guides AI Agents through structured workflows, enhancing task memory management and avoiding redundant coding. It offers features like task planning, intelligent decomposition, dependency management, and execution tracking. The system is designed to optimize programming workflows by providing a framework for systematic task management, ensuring tasks are executed in the correct order and meet expected requirements. It also includes a research mode for technical investigation and a task memory function for long-term reference capabilities.
Features
- Task Planning and Analysis: Deep understanding and analysis of complex task requirements.
- Intelligent Task Decomposition: Automatically break down large tasks into manageable smaller tasks.
- Dependency Management: Precisely handle dependencies between tasks, ensuring correct execution order.
- Execution Status Tracking: Real-time monitoring of task execution progress and status.
- Task Completeness Verification: Ensure task results meet expected requirements.
Tools
- plan_task: Start planning tasks.
- analyze_task: In-depth analysis of task requirements.
- research_mode: Enter systematic technical research mode.
- init_project_rules: Initialize or update project standards and rules.
- execute_task: Execute specific tasks.