mentor-mcp-server

TypeScript Model Context Protocol Version License Status GitHub

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

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 git@github.com: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.

Deploy Server

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

How are these scores calculated?

Related Resources

GitHub Repository

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