Mentor MCP
Provides AI-powered mentorship to LLM agents for tasks like code review, design critique, and brainstorming, using the Deepseek API.
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. Set your LLM Agent up for success with expert second opinions and actionable insights.
Model Context Protocol
The Model Context Protocol (MCP) enables communication between:
- Clients: Claude Desktop, IDEs, and other MCP-compatible clients
- Servers: Tools and resources for task management and automation
- LLM Agents: AI models that leverage the server's capabilities
Table of Contents
Features
Code Analysis
- Comprehensive code reviews
- Bug detection and prevention
- Style and best practices evaluation
- Performance optimization suggestions
- Security vulnerability assessment
Design & Architecture
- UI/UX design critiques
- Architectural diagram analysis
- Design pattern recommendations
- Accessibility evaluation
- Consistency checks
Content Enhancement
- Writing feedback and improvement
- Grammar and style analysis
- Documentation review
- Content clarity assessment
- Structural recommendations
Strategic Planning
- Feature enhancement brainstorming
- Second opinions on approaches
- Innovation suggestions
- Feasibility analysis
- User value assessment
Installation
# Clone the repository
git clone [email protected]:cyanheads/mentor-mcp-server.git
cd mentor-mcp-server
# Install dependencies
npm install
# Build the project
npm run build
Configuration
Add to your MCP client settings:
{
"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"
}
}
}
}
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
| DEEPSEEK_API_KEY | Yes | - | Your Deepseek API key |
| DEEPSEEK_MODEL | Yes | deepseek-reasoner | Deepseek model name |
| DEEPSEEK_MAX_TOKENS | No | 8192 | Maximum tokens per request |
| DEEPSEEK_MAX_RETRIES | No | 3 | Number of retry attempts |
| DEEPSEEK_TIMEOUT | No | 30000 | Request timeout (ms) |
Tools
Code Review
<use_mcp_tool>
<server_name>mentor-mcp-server</server_name>
<tool_name>code_review</tool_name>
<arguments>
{
"file_path": "src/app.ts",
"language": "typescript"
}
</arguments>
</use_mcp_tool>
Design Critique
<use_mcp_tool>
<server_name>mentor-mcp-server</server_name>
<tool_name>design_critique</tool_name>
<arguments>
{
"design_document": "path/to/design.fig",
"design_type": "web UI"
}
</arguments>
</use_mcp_tool>
Writing Feedback
<use_mcp_tool>
<server_name>mentor-mcp-server</server_name>
<tool_name>writing_feedback</tool_name>
<arguments>
{
"text": "Documentation content...",
"writing_type": "documentation"
}
</arguments>
</use_mcp_tool>
Feature Enhancement
<use_mcp_tool>
<server_name>mentor-mcp-server</server_name>
<tool_name>brainstorm_enhancements</tool_name>
<arguments>
{
"concept": "User authentication system"
}
</arguments>
</use_mcp_tool>
Examples
Detailed examples of each tool's usage and output can be found in the examples directory:
- Second Opinion Example - Analysis of authentication system requirements
- Code Review Example - Detailed TypeScript code review with security and performance insights
- Design Critique Example - Comprehensive UI/UX feedback for a dashboard design
- Writing Feedback Example - Documentation improvement suggestions
- Brainstorm Enhancements Example - Feature ideation with implementation details
Each example includes the request format and sample response, demonstrating the tool's capabilities and output structure.
Development
# Build TypeScript code
npm run build
# Start the server
npm run start
# Development with watch mode
npm run dev
# Clean build artifacts
npm run clean
Project Structure
src/
├── api/ # API integration modules
├── tools/ # Tool implementations
│ ├── second-opinion/
│ ├── code-review/
│ ├── design-critique/
│ ├── writing-feedback/
│ └── brainstorm-enhancements/
├── types/ # TypeScript type definitions
├── utils/ # Utility functions
├── config.ts # Server configuration
├── index.ts # Entry point
└── server.ts # Main server implementation
License
Apache License 2.0. See LICENSE for more information.
Servidores relacionados
Scout Monitoring MCP
patrocinadorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
patrocinadorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Postman MCP Server
Run Postman collections using Newman, with support for environment and global variables.
Azure MCP Server
All Azure MCP tools in a single server. The Azure MCP Server implements the MCP specification to create a seamless connection between AI agents and Azure services. Azure MCP Server can be used alone or with the GitHub Copilot for Azure extension in VS Code.
Better Auth
Enterprise-grade authentication with secure credential management, multi-protocol support, and real-time threat detection.
Neovim LSP MCP Server
Bridges AI coding assistants with Neovim's Language Server Protocol for AI-powered code intelligence and navigation.
OpenAI Image Generation
Generate and edit images using OpenAI's DALL-E models via the official Python SDK.
Everything
Reference / test server with prompts, resources, and tools
HandMirrorMcp
A Model Context Protocol (MCP) server for .NET assembly and NuGet package inspection
Klever VM
MCP server for [Klever](https://klever.org) blockchain smart contract development, on-chain data exploration, and VM interaction. Public remote server available at `https://mcp.klever.org/mcp`.
MCP Audio Inspector
Analyzes audio files and extracts metadata, tailored for game audio development workflows.
MCP Gateway
A gateway to translate MCP tool calls into HTTP API requests, configurable via YAML.