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mentor-mcp-server

by cyanheads

The mentor-mcp-server is a Model Context Protocol server that provides LLM Agents with AI-powered mentorship capabilities via Deepseek-Reasoning (R1) including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API. It helps LLM Agents succeed by providing expert second opinions and actionable insights.

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What is mentor-mcp-server?

The mentor-mcp-server is a tool that provides LLM Agents with a second opinion via AI-powered Deepseek-Reasoning (R1) mentorship capabilities. It acts as a server within the Model Context Protocol (MCP) ecosystem, offering services like code review, design critique, writing feedback, and idea brainstorming.

How to use mentor-mcp-server?

To use the mentor-mcp-server, you need to clone the repository, install the dependencies, and build the project. Then, configure your MCP client settings to include the server, providing the necessary environment variables such as the Deepseek API key. You can then use the provided tools via XML requests, specifying the server name, tool name, and arguments.

Key features of mentor-mcp-server

  • Comprehensive code reviews

  • UI/UX design critiques

  • Writing feedback and improvement

  • Feature enhancement brainstorming

Use cases of mentor-mcp-server

  • Providing code review and bug detection for software projects

  • Offering design critique and architectural analysis for UI/UX designs

  • Improving documentation and content clarity through writing feedback

  • Brainstorming feature enhancements and strategic planning for product development

FAQ from mentor-mcp-server

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) enables communication between clients, servers, and LLM Agents.

What is Deepseek-Reasoning (R1)?

Deepseek-Reasoning (R1) is an AI model used by the server to provide mentorship capabilities.

What kind of API key do I need?

You need a Deepseek API key to use this server.

Where can I find examples of how to use the tools?

Detailed examples of each tool's usage and output can be found in the examples directory.

What license is this project under?

This project is licensed under the Apache License 2.0.