MCP Shrimp Task Manager

A task management tool built specifically for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured development tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

One-Minute Overview#

Shrimp Task Manager is an MCP (Model Context Protocol) server that transforms how AI agents approach software development. Instead of losing context or repeating work, Shrimp provides intelligent task decomposition, persistent memory across sessions, and guided development workflows. If you're working with AI assistants for development, it helps you avoid fragmented coding efforts and maintain project continuity even with context limitations.

Core Value: Transforms AI development from scattered code generation to structured task management systems

Quick Start#

Installation Difficulty: Medium - Requires MCP environment and AI client setup

# Install Claude Code
npm install -g @anthropic-ai/claude-code

# Clone and build the project
git clone https://github.com/cjo4m06/mcp-shrimp-task-manager.git
cd mcp-shrimp-task-manager
npm install
npm run build

Is this suitable for me?

✅ AI-powered development workflows: When you need AI assistants to manage complex projects

✅ Cross-session task management: When you need to continue development progress at different time points

✅ Team collaboration projects: When you need to maintain development standards and task consistency

❌ Simple script development: Might be overly complex for small, one-off projects

Core Capabilities#

1. Intelligent Task Planning - Deep Requirement Analysis#

AI agents conduct deep analysis of requirements before implementation, creating detailed task plans Actual Value: Prevents rework and ensures complete feature implementation

2. Task Decomposition and Dependency Management#

Breaks down complex projects into atomic, testable units with automatic relationship management Actual Value: Improves development efficiency and reduces bottlenecks

3. Persistent Memory#

Tasks and progress remain continuous across different sessions Actual Value: Enables continuous progress even in context-constrained environments

4. Research Mode#

Systematic exploration of technologies and solutions Actual Value: Facilitates more informed technical decisions

5. Project Rules Management#

Define and maintain coding standards across the project Actual Value: Maintains code quality and consistency

Technical Stack & Integration#

Development Languages: TypeScript, JavaScript Key Dependencies: Node.js 18+, npm/yarn Integration Method: MCP server, supports MCP-compatible AI clients like Claude Code

Maintenance Status#

Development Activity: Actively maintained with regular commits and version updates
Recent Updates: Recent feature additions and new version releases
Community Response: Community contributions and active discussion forums

Commercial & Licensing#

License: MIT

✅ Commercial Use: Permitted for commercial applications
✅ Modification: Allowed to modify and distribute
⚠️ Restrictions: Must include original license and copyright notices

Documentation & Learning Resources#

Documentation Quality: Comprehensive
Official Documentation: https://github.com/cjo4m06/mcp-shrimp-task-manager
Example Code: Contains multiple usage examples and configuration cases