mentor-mcp-server

by cyanheads

一个模型上下文协议(Model Context Protocol)服务器,通过AI驱动的Deepseek-Reasoning指导能力,为LLM(大型语言模型)代理提供第二意见,包括代码审查、设计批评、写作反馈和创意头脑风暴,利用Deepseek API实现。配置需要DEEPSEEK_API_KEY及相关环境变量。

Developer toolsstdioCommunity

Repository-wide counts · Cached 2026-03-07

Overview

The mentor-mcp-server MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

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Open the mentor-mcp-server repository to read the latest documentation.

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FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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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

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:

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