Mentor MCP

Mentor MCP is an MCP server that provides AI-powered mentorship to LLM agents by querying the Deepseek API for reasoning-driven reviews and recommendations. It connects MCP-compatible clients like Claude Desktop and developer IDEs directly to Deepseek reasoning models, primarily deepseek-reasoner. Software engineers, technical writers, UI/UX designers, and autonomous coding agents use this server to obtain critical second opinions before committing changes or finalizing plans. Instead of relying on a single model's initial pass, the server evaluates proposed work through specialized tools designed for static code review, design and architecture analysis, technical documentation feedback, and feature enhancement brainstorming. The server processes local files, design document references, and conceptual prompts, returning actionable critiques, security vulnerability alerts, style guidelines, and feasibility analysis. By offloading specialized evaluation to Deepseek's reasoning architecture, development teams and automated workflows can systematically identify bugs, architectural flaws, and documentation gaps directly within their primary agent interface.

Category: AI & LLM Tooling

Tags: brainstorming, code-review, deepseek, mentorship

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How to install and configure Mentor MCP

1. Clone the repository locally: bash git clone git@github.com:cyanheads/mentor-mcp-server.git cd mentor-mcp-server 2. Install the necessary dependencies and compile the TypeScript code: bash npm install npm run build 3. Add the server definition to your MCP client configuration (such as Claude Desktop settings): json { "mcpServers": { "mentor": { "command": "node", "args": ["build/index.js"], "env": { "DEEPSEEK_API_KEY": "your_api_key", "DEEPSEEK_MODEL": "deepseek-reasoner", "DEEPSEEK_MAX_TOKENS": "8192", "DEEPSEEK_MAX_RETRIES": "3", "DEEPSEEK_TIMEOUT": "30000" } } } } 4. Replace your_api_key with your valid Deepseek API key and restart your MCP client.

What you can do with Mentor MCP

• Conducting in-depth code reviews on local files to identify logic bugs, security vulnerabilities, and runtime performance bottlenecks. * Requesting architectural and usability critiques for user interfaces, web applications, design systems, and visual diagram specifications. * Evaluating technical documentation, guides, and drafts for clear structural flow, grammar precision, and conceptual clarity. * Brainstorming implementation strategies and feasibility assessments for new feature requests, such as complex authentication workflows. * Generating automated second opinions to cross-examine and validate technical proposals generated by primary autonomous coding agents.

Key facts

• https://github.com/cyanheads/mentor-mcp-server
• AI & LLM Tooling, Design, Media & Creative, Developer Tools & Code Intelligence
• brainstorming, code-review, deepseek, mentorship

Part of MCP Servers

How do I install Mentor MCP?

To install Mentor MCP, clone the official git repository, run npm install to fetch dependencies, and execute npm run build. Then register the built build/index.js file as a node command in your client configuration file, supplying your Deepseek API key.

What can Mentor MCP do?

Mentor MCP provides automated mentorship capabilities powered by Deepseek reasoning models. It exposes tools for comprehensive code review, UI and architectural design critiques, technical writing analysis, and feature brainstorming to give agents actionable second opinions.

Which MCP clients work with Mentor MCP?

Mentor MCP works with any Model Context Protocol compliant client. This includes Claude Desktop, compatible code editors, integrated development environments, and autonomous agent platforms that support standard MCP server configurations via stdio.

What model does Mentor MCP use?

By default, Mentor MCP is configured to call the deepseek-reasoner model using the Deepseek API. You can customize the model identifier, request timeouts, and token limits using environment variables in your client configuration.

Is Mentor MCP open source?

Yes, Mentor MCP is open source software distributed under the Apache License 2.0. The full TypeScript source code and documentation are available in the project repository on GitHub.