Enhance your programming efficiency with MCP Shrimp Task Manager—a smart task management system based on the Model Context Protocol (MCP). Designed to work seamlessly with Cursor IDE, it guides AI Agents through structured task workflows and advanced memory management, helping you avoid redundant work and continuously learn from previous experiences.
What You Gain
Efficient Task Planning & Execution:
MCP Shrimp Task Manager intelligently analyzes your coding requirements, automatically breaking down complex projects into manageable tasks. This streamlines your workflow so you can focus on creative problem solving instead of repetitive operations.
Avoid Redundant Work:
With its task memory feature, the system stores detailed execution histories to prevent duplicate efforts. Benefit from an ever-growing knowledge base that helps you reuse proven solutions and optimize your development process.
Real-Time Status Monitoring:
Stay updated with dynamic progress tracking. Monitor task execution in real time, ensuring that every step is accurately tracked—from initial planning to final verification.
Optimized Dependency & Complexity Handling:
The system handles intricate task dependencies and assesses task complexity automatically. This means fewer errors and smoother execution, even in large-scale projects.
Learning and Continuous Improvement:
By recording and reviewing past tasks, MCP Shrimp Task Manager enables you to learn from successful experiences and avoid previous pitfalls. Over time, this leads to a more refined and efficient development cycle.
How It Works with Cursor IDE
MCP Shrimp Task Manager is fully compatible with MCP-supported clients like Cursor IDE. You can configure the server either globally or on a per-project basis. Just update your mcp.json settings with the appropriate command, arguments, and absolute paths for the data directory to get started effortlessly.
Important: Make sure to use an absolute path for the DATA_DIR to avoid issues such as data loss or inconsistent behavior.
Get Started Today
Explore the powerful benefits of automated task planning, real-time status tracking, and intelligent memory features. Visit the MCP Shrimp Task Manager repository to dive into the code and detailed documentation, and start streamlining your workflow with Cursor IDE.
Yes, it’s definitely a hot space lately! What sets Shrimp Task Manager apart is its MCP-based architecture for agent-guided task workflows. Unlike traditional checklist-style task tools, Shrimp is built to enable smarter, context-aware task management through:
Task memory & redundancy prevention: It logs detailed execution history so agents can avoid repeating past work and build on proven solutions.
Automatic dependency & complexity analysis: Tasks are not just listed—they’re structured intelligently based on interdependencies and difficulty.
Real-time status tracking: See progress clearly from planning to completion, keeping both devs and agents aligned.
Agent-guided planning: Instead of hardcoding task flows, Shrimp lets agents proactively analyze context and generate project-specific task structures.
Reflection-like capabilities: Shrimp implements a mechanism inspired by Reflection Agents, enabling agents to review past performance, learn from outcomes, and iteratively improve their strategies and outputs.
If you’re looking for something beyond static task lists—a system where AI can actively think, learn, and evolve with your project—give Shrimp a try
Shrimp runs on top of Cursor AI, so there’s no need to integrate any additional AI models. It leverages the AI capabilities already provided by Cursor and enhances them through structured task planning and agent collaboration
Good job! Planning to adopt this instead of claude task master into my workflow as I’ve been using Cursor Pro for a long time, so can you briefly illustrate how they differ in effectiveness, including both planned and unplanned features?
Thanks for the support! There are two main differences between Shrimp and Task Master:
No extra AI API needed: Task Master requires you to connect your own Claude API, while Shrimp uses Cursor’s built-in AI — no additional cost or setup needed.
Different approach to task planning: Task Master focuses on generating tasks from PRDs, whereas Shrimp first tries to understand your existing project structure and codebase before planning, making the results more aligned with your actual development context.
