This MCP server, developed by cyanheads, provides AI-powered mentorship capabilities through the Deepseek API. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for code review, design critique, writing feedback, and idea brainstorming. The implementation focuses on delivering expert second opinions and actionable insights to enhance LLM agent performance. It's particularly useful for developers, designers, and content creators seeking AI-assisted feedback and improvement suggestions, enabling use cases such as code quality enhancement, UI/UX refinement, documentation improvement, and feature ideation without directly interacting with the Deepseek API.
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Perform a code review on the specified file. Parameters: file_path (string, path to the file), language (string, programming language of the file)
Provide a critique for the design document. Parameters: design_document (string, path to the design document), design_type (string, type of design, e.g., web UI)
Give feedback on the provided writing content. Parameters: text (string, the content to review), writing_type (string, type of writing, e.g., documentation)
Brainstorm feature enhancements for a given concept. Parameters: concept (string, the concept to discuss enhancements for)