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LeetCode MCP

by Kishan-N

LeetCode MCP is a Python tool that fetches LeetCode problems and provides detailed explanations of various solution approaches. It helps users understand different ways to solve LeetCode problems with in-depth analysis.

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What is LeetCode MCP?

LeetCode MCP is a Python-based tool designed to fetch LeetCode problems and offer comprehensive explanations of various solution approaches. It aims to assist users in understanding and learning different problem-solving techniques.

How to use LeetCode MCP?

To use LeetCode MCP, first clone the repository and install the required dependencies using pip install -r requirements.txt. Then, update the config.json file with your OpenAI API key. Finally, run the script using python leetcode_mcp.py and enter the name of the LeetCode problem you want to explore when prompted.

Key features of LeetCode MCP

  • Fetches problem descriptions from LeetCode

  • Extracts examples and constraints

  • Provides multiple solution approaches

  • Offers intuition, complexity analysis, and implementation details for each solution approach

Use cases of LeetCode MCP

  • Learning different approaches to solve LeetCode problems

  • Understanding the intuition behind algorithm implementations

  • Analyzing the time and space complexity of various solutions

  • Improving problem-solving skills for coding interviews

FAQ from LeetCode MCP

What is the purpose of this tool?

This tool helps users understand different approaches to solving LeetCode problems by providing detailed explanations and analysis.

What dependencies are required to run this tool?

The tool requires Python and the dependencies listed in the requirements.txt file, which can be installed using pip.

Do I need an OpenAI API key to use this tool?

Yes, you need to update the config.json file with your OpenAI API key.

How do I specify which LeetCode problem to explore?

When you run the script, you will be prompted to enter the name of the LeetCode problem you want to explore.

What output format does the tool generate?

The tool generates a markdown-formatted output with the problem description, examples, constraints, and multiple solution approaches with detailed explanations.