LeetCode MCP (Model Context Protocol)
LocalAbout LeetCode MCP (Model Context Protocol)
A Python MCP server that retrieves LeetCode problems and generates notes with multiple solution approaches. It is for people studying problems through explanations, complexity analysis, and implementations.
Key features
- 01Fetches problem descriptions
- 02Extracts examples and constraints
- 03Explains multiple approaches
- 04Analyzes time and space complexity
- 05Provides implementations and walkthroughs
- 06Outputs Markdown notes
Use cases
- 01Reviewing a problem before solving it
- 02Comparing alternative solution approaches
- 03Studying complexity and implementation details
MCP support
The project is presented as an MCP server for retrieving LeetCode problems and generating explanatory notes.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMELeetCode 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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.