Mentor MCP Server
An AI mentor server based on the Model Context Protocol, providing second - opinion services such as code review, design evaluation, writing feedback, and creative brainstorming through Deepseek - Reasoning
rating : 2.5 points
downloads : 105
What is the Mentor-MCP Server?
The Mentor-MCP Server is an AI assistant tool based on the Model Context Protocol. It provides services such as code review, design suggestions, writing feedback, and creative brainstorming through the Deepseek-Reasoning model. It aims to help you optimize your development process and improve work efficiency.How to Use the Mentor-MCP Server?
To start using the Mentor-MCP Server, follow these steps: Install the necessary dependencies, configure your API key, and start the server. Once the setup is complete, you can send requests to the server to get the desired services.Applicable Scenarios
Suitable for professionals who need to conduct code reviews, design optimizations, writing improvements, or stimulate innovative thinking, such as developers, designers, and writers.Main Features
Code AnalysisConduct a comprehensive review of the code, detect potential errors, and propose performance optimization suggestions.
Design and Architecture EvaluationConduct a detailed evaluation of the UI/UX design and system architecture, and recommend best practices.
Content EnhancementProvide writing feedback to improve text quality and readability.
Strategic PlanningAssist in generating ideas for feature expansion and conducting feasibility analysis.
Advantages and Limitations
Advantages
Improve development efficiency
Reduce human errors
Support multiple programming languages
Good cross - platform compatibility
Limitations
May require some configuration knowledge
Limited support for non - conventional tasks
How to Use
Clone the Project Repository
Use Git to clone the code repository of the Mentor-MCP Server.
Install Dependencies
Run the npm install command to install the required dependencies.
Build the Project
Use the npm run build command to build the project.
Start the Server
Run the npm run start command to start the server.
Usage Examples
Code Review ExampleThis example shows how to use the Mentor-MCP Server to perform a code review.
Design Critique ExampleThis example demonstrates how to use the Mentor-MCP Server to evaluate a design document.
Frequently Asked Questions
How to set up the Deepseek API key?
Which programming languages does the server support?
Related Resources
Official Documentation
Learn more about the Model Context Protocol.
GitHub Repository
Access the open - source code of the Mentor-MCP Server.
Technical Support Forum
Exchange experiences and technical issues with other users.
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points