Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
Overview
What is MCP Shrimp Task Manager?
MCP Shrimp Task Manager is an intelligent task management system designed for AI Agents, focusing on structured workflows, chain-of-thought reasoning, and style consistency in programming tasks.
How to use MCP Shrimp Task Manager?
To use the Shrimp Task Manager, install it via Smithery or manually set it up in your development environment. You can then interact with the system using natural language commands to plan, execute, and manage tasks.
Key features of MCP Shrimp Task Manager?
- Intelligent task decomposition and planning
- Dependency management for task execution
- Real-time execution status tracking
- Automatic task summary updates and memory function
- Thought chain process for systematic problem analysis
Use cases of MCP Shrimp Task Manager?
- Managing complex programming tasks for AI development.
- Enhancing team collaboration through structured task management.
- Automating repetitive coding tasks to improve efficiency.
FAQ from MCP Shrimp Task Manager?
- Can I use it for any programming language?
Yes! It is designed to work with any language supported by MCP-compatible clients.
- Is there a user guide available?
Yes! Comprehensive documentation is provided to help users navigate the system.
- How does the memory function work?
The memory function automatically saves task history, allowing for reference and learning from past tasks.