mentor-mcp-server
@cyanheads
About mentor-mcp-server
A Model Context Protocol server providing LLM Agents a second opinion via AI-powered Deepseek-Reasoning R1 mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.
Basic information
Config
No standard config provided
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RepositoryTools
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Overview
What is mentor-mcp-server?
Mentor-mcp-server is a Model Context Protocol server that gives LLM Agents expert second opinions via the Deepseek-reasoning (R1) API. It provides code review, design critique, writing feedback, and idea brainstorming for developers and teams.
How to use mentor-mcp-server?
Clone the repository, install dependencies with npm install, and build with npm run build. Configure it by adding a mentor entry to your MCP client settings with your DEEPSEEK_API_KEY and optional model parameters, then invoke the provided tools (e.g., code_review, design_critique).
Key features of mentor-mcp-server
- Comprehensive code reviews with bug detection
- UI/UX design critiques and pattern recommendations
- Writing feedback and documentation improvement
- Feature enhancement brainstorming and feasibility analysis
- Security and performance vulnerability assessment
- Accessibility evaluation and consistency checks
Use cases of mentor-mcp-server
- Review a TypeScript file for bugs, style, and security issues.
- Get UI/UX feedback on a web design before implementation.
- Improve technical documentation with grammar and clarity suggestions.
- Brainstorm enhancements for a user authentication system.
- Receive a second opinion on architectural decisions or planning.
FAQ from mentor-mcp-server
What API key is required?
A Deepseek API key is required. Set it as the DEEPSEEK_API_KEY environment variable.
What model does mentor-mcp-server use by default?
The default model is deepseek-reasoner, configurable via the DEEPSEEK_MODEL environment variable.
What tools are available?
Four tools: code_review, design_critique, writing_feedback, and brainstorm_enhancements. Each accepts specific arguments like file path or text.
How do I configure environment variables?
Add variables DEEPSEEK_API_KEY, DEEPSEEK_MODEL, DEEPSEEK_MAX_TOKENS, DEEPSEEK_MAX_RETRIES, and DEEPSEEK_TIMEOUT to the env block in your MCP client settings.
What are the runtime dependencies?
Node.js and npm. The project is written in TypeScript and uses the Model Context Protocol. All other dependencies are installed via npm install.
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