Frequently Asked Questions (FAQ) about MCP Server

Q: What is MCP Server? A: MCP Server is a powerful CLI and MCP-based task management system designed for agentic workflows. It helps you create, update, and track tasks efficiently, integrating seamlessly with Cursor IDE.

Q: What is MCP (Model Control Protocol)? A: MCP is an open protocol that standardizes how applications provide context to LLMs (Large Language Models), enabling AI models to access and interact with external data sources and tools.

Q: What are the key features of MCP Server? A: Key features include CLI-based task management, MCP integration with Cursor IDE, AI-powered task expansion and revision, progress tracking, and customizable workflows.

Q: What are some use cases for MCP Server? A: MCP Server can be used for software development, data science projects, content creation, research and development, and more.

Q: How do I install MCP Server? A: You need Node.js (v14 or later) and npm. Clone the repository, install dependencies with npm install, and run the setup script using chmod +x setup.sh && ./setup.sh.

Q: How do I integrate MCP Server with Cursor IDE? A: Run the setup script for automatic configuration. Alternatively, manually configure it in Cursor’s settings by adding a new MCP connection and pointing it to the bin/agentic-control-framework-mcp script.

Q: What is a PRD, and how does it relate to MCP Server? A: A PRD (Product Requirements Document) is a document that outlines your project requirements. MCP Server can parse a PRD to automatically generate tasks and subtasks, providing a structured starting point for your project.

Q: How do I use AI features in MCP Server? A: Set up a .env file with your Gemini API key. Then, use commands like ./bin/task-manager expand-task to break down tasks into subtasks using AI, or ./bin/task-manager revise-tasks to update tasks based on prompts.

Q: What if I encounter issues during installation or setup? A: Ensure your scripts are executable (chmod +x bin/task-manager bin/task-manager-mcp), check your Node.js version, verify your .env file contains the API key (if using AI features), and confirm the paths in the bin/task-manager-mcp script match your installation.