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Mentor-MCP Server: Real-Time Insights & Enterprise Scalability - MCP Implementation

Mentor-MCP Server: Real-Time Insights & Enterprise Scalability

Mentor-MCP Server mirrors system performance, delivering real-time insights to optimize operations and drive enterprise scalability.

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About Mentor-MCP Server

What is Mentor-MCP Server: Real-Time Insights & Enterprise Scalability?

Mentor-MCP Server is a modular solution built on the Model Context Protocol (MCP) that leverages Deepseek API to deliver real-time analytical insights for software development workflows. Designed for enterprise environments, it provides scalable integration with development tools, enabling teams to optimize code quality, design processes, documentation, and strategic planning through actionable feedback.

How to Use Mentor-MCP Server: Real-Time Insights & Enterprise Scalability?

Implementation follows three core steps: installation via repository cloning and dependency setup, configuration of environment variables and tool integrations, and execution of predefined analysis workflows through standardized API endpoints. Developers trigger analyses by submitting code, design artifacts, or text content to the server, which returns structured feedback in real time.

Mentor-MCP Server Features

Key Features of Mentor-MCP Server: Real-Time Insights & Enterprise Scalability?

  • Code Analysis Engine: Performs security audits, performance optimizations, and compliance checks for TypeScript and other languages
  • Design Evaluation: Provides UX/UI feedback on interface layouts, accessibility standards, and user workflow coherence
  • Content Refinement: Enhances technical documentation clarity, API specification accuracy, and user guide usability
  • Strategic Planning: Generates feature roadmaps with implementation prioritization and risk assessment matrices

Use Cases of Mentor-MCP Server: Real-Time Insights & Enterprise Scalability?

Common applications include:

- Continuous integration validation for authentication system implementations

- Real-time code review during sprint development cycles

- Comparative analysis of UI/UX design alternatives for product consistency

- Automated documentation validation during API specification updates

Mentor-MCP Server FAQ

FAQ: Mentor-MCP Server

Q: Does it require specific development environments?

A: Works with Node.js v16+ and integrates with IDEs like VS Code through extension hooks

Q: How is scalability achieved?

A: Microservices architecture allows horizontal scaling of analysis modules, with load balancing for peak workloads

Q: What analysis outputs are available?

A: JSON-formatted results with severity ratings, mitigation strategies, and visual heatmaps for design reviews

Q: Where can I find implementation examples?

A: See sample workflows in the documentation repository

Content

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
  • 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

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