mentor-mcp-server is a Model Context Protocol (MCP) server. It equips LLM Agents with AI mentorship functions like code review, design critique, writing feedback, and idea brainstorming, powered by the Deepseek API.
To use it, clone its repository and install the dependencies. Then, configure your MCP client settings with the necessary environment variables. Once set up, you can access its tools for code analysis, design critique, and writing feedback.
Key features include comprehensive code reviews with bug detection, UI/UX design and architectural analysis, writing feedback for content enhancement, and brainstorming for feature improvements and strategic planning.
Common use cases are conducting detailed code reviews for TypeScript projects, evaluating UI/UX designs for web applications, providing writing feedback on technical documentation, and brainstorming enhancements for software products.
Frequently asked questions: The Model Context Protocol (MCP) facilitates communication between clients, servers, and LLM Agents for better task management and automation. The server is open-source and free to use. Contributions are welcome via issues, feature requests, or pull requests on the GitHub repository.