Shrimp Task Manager – an MCP server that turns natural-language instructions into structured development tasks with dependency tracking, reflection, and chain-of-thought support.
https://github.com/cjo4m06/mcp-shrimp-task-managerIf you've been using AI assistants for development, you've probably experienced this: asking them to implement a feature, watching them write code, then realizing they're solving the same problem you tackled last week. Or worse, they start coding immediately without understanding your project structure, dependencies, or the bigger picture.
Shrimp Task Manager transforms chaotic AI interactions into systematic, memory-aware development workflows. Instead of starting from scratch every time, your AI agents now maintain context, track dependencies, and build on previous work.
The difference is immediate. Instead of this:
You get this:
Here's what makes this different from every other task management tool: your AI agents remember what worked and what didn't. The system automatically backs up completed tasks, creating a searchable knowledge base of solutions, mistakes, and decisions.
When you ask your agent to implement similar functionality months later, it references past approaches instead of reinventing the wheel. No more explaining the same architectural decisions or watching AI repeat the same debugging process.
Research Mode: Before jumping into implementation, your agent can systematically investigate technologies, compare approaches, and gather context. Perfect for exploring new frameworks or understanding complex technical decisions.
Project Rules: Initialize your project standards once, and every subsequent task follows your established patterns. No more inconsistent code styles or architectural decisions that don't match your codebase.
Dependency Tracking: Complex features get broken down into properly ordered subtasks. Your agent knows to implement the database models before the API endpoints, and the authentication middleware before the protected routes.
Whether you're using Claude Desktop, Cursor IDE, or any MCP-compatible client, Shrimp integrates seamlessly. Configure it once, then access structured task management across all your development environments.
The setup is straightforward - install via npm or Smithery, configure your data directory, and you're ready to transform how AI agents handle your development workflow.
This isn't about task tracking for the sake of organization. It's about eliminating the friction between "I need this implemented" and "this is working in production." Your AI agents become more like experienced developers who understand context, remember decisions, and build systematically.
The 994 stars and active community tell the story: developers are using this to ship features faster, with less repetitive work and better consistency across their projects.
Ready to stop repeating yourself? Install Shrimp Task Manager and watch your AI agents evolve from helpful assistants to productive development partners.