Mentor FAQs

Question 1

What type of feedback does Mentor provide?

Accepted Answer

Mentor provides comprehensive feedback including code reviews with bug detection, UI/UX design critiques, writing improvement suggestions, and brainstorming for feature enhancements.

Question 2

How do I configure Mentor?

Accepted Answer

You can configure Mentor by adding it to your MCP client settings and providing your Deepseek API key and other optional configurations like model, max tokens, retries, and timeout.

Question 3

How does Mentor integrate with LLM Agents?

Accepted Answer

Mentor functions as a Model Context Protocol (MCP) server. MCP allows seamless communication between clients (like IDEs), servers (like Mentor), and LLM Agents, enabling agents to leverage Mentor's capabilities.

Question 4

What is Mentor?

Accepted Answer

Mentor is an AI-powered tool that provides LLM Agents with a second opinion and mentorship capabilities. It uses the Deepseek API to offer code review, design critique, writing feedback, and brainstorming assistance.

Question 5

What API does Mentor use?

Accepted Answer

Mentor utilizes the Deepseek API for its AI-powered mentorship capabilities, including reasoning (R1) features.

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