Leetcode Notes Mcp
What is Leetcode Notes Mcp
Leetcode_Notes_MCP is a Python-based tool designed to fetch LeetCode problems and provide detailed explanations of various solution approaches.
Use cases
Use cases include students studying for coding interviews, developers looking to enhance their algorithm knowledge, and educators creating teaching materials based on LeetCode problems.
How to use
To use Leetcode_Notes_MCP, clone the repository, install the required dependencies, update your OpenAI API key in the config.json file, and run the script by entering the name of the LeetCode problem you wish to explore.
Key features
Key features include fetching problem descriptions from LeetCode, extracting examples and constraints, and providing multiple solution approaches with intuition, complexity analysis, implementation details, and step-by-step explanations.
Where to use
Leetcode_Notes_MCP can be used in educational settings, software development, and coding interview preparation, helping users understand algorithmic concepts and improve problem-solving skills.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Leetcode Notes Mcp
Leetcode_Notes_MCP is a Python-based tool designed to fetch LeetCode problems and provide detailed explanations of various solution approaches.
Use cases
Use cases include students studying for coding interviews, developers looking to enhance their algorithm knowledge, and educators creating teaching materials based on LeetCode problems.
How to use
To use Leetcode_Notes_MCP, clone the repository, install the required dependencies, update your OpenAI API key in the config.json file, and run the script by entering the name of the LeetCode problem you wish to explore.
Key features
Key features include fetching problem descriptions from LeetCode, extracting examples and constraints, and providing multiple solution approaches with intuition, complexity analysis, implementation details, and step-by-step explanations.
Where to use
Leetcode_Notes_MCP can be used in educational settings, software development, and coding interview preparation, helping users understand algorithmic concepts and improve problem-solving skills.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
LeetCode MCP (Model Context Protocol)
This is a Python-based tool that fetches LeetCode problems and provides detailed explanations of various solution approaches.
Features
- Fetches problem descriptions from LeetCode
- Extracts examples and constraints
- Provides multiple solution approaches with:
- Intuition behind the solution
- Time and space complexity analysis
- Implementation details
- Step-by-step explanations
Installation
- Clone this repository
- Install the required dependencies:
pip install -r requirements.txt
- Update your open API Key in the
config.jsonfile:
{
"OPENAI_API_KEY": "<Add your OpenAI API key here>"
}Usage
Run the script:
python leetcode_mcp.py
When prompted, enter the name of the LeetCode problem you want to explore. The tool will fetch the problem and provide detailed explanations of various solution approaches.
Example:
Enter LeetCode problem name: valid-sudoku
Output Format
The tool generates a markdown-formatted output with:
- Problem title and difficulty
- Problem description
- Examples
- Constraints
- Multiple solution approaches, each containing:
- Intuition
- Complexity analysis
- Implementation
- Detailed explanation
Note
This tool scrapes data from LeetCode’s public problem pages. Please be mindful of LeetCode’s terms of service and rate limiting when using this tool.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
