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
- Installation
- Configuration
- Tools
- Examples
- Development
- Project Structure
- License
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]](/cdn-cgi/l/email-protection):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:
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.
Built with the Model Context Protocol
