What API key is required?
An OpenAI API key must be set in the `config.json` file under the key `OPENAI_API_KEY`. The tool uses it to generate solution explanations.
@Kishan-N
基本情報
MCP Server to generate Leetcode Notes
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"Leetcode_Notes_MCP": {
"command": "python",
"args": [
"leetcode_mcp.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
LeetCode MCP is a Python-based tool that fetches LeetCode problem descriptions and produces detailed explanations of multiple solution approaches. It is designed for developers preparing for coding interviews who want to understand both the intuition and complexity behind different solutions.
Clone the repository, install dependencies with pip install -r requirements.txt, and add your OpenAI API key to config.json. Then run python leetcode_mcp.py and enter the LeetCode problem name (e.g., valid-sudoku) when prompted. The tool returns a markdown-formatted analysis.
An OpenAI API key must be set in the `config.json` file under the key `OPENAI_API_KEY`. The tool uses it to generate solution explanations.
Yes, it fetches problem data from LeetCode’s public pages. Users should respect LeetCode’s terms of service and avoid excessive requests.
Run `python leetcode_mcp.py` from the project directory. You will be prompted to enter the name of the LeetCode problem (e.g., `two-sum`).
The tool outputs a markdown document containing the problem title, difficulty, description, examples, constraints, and multiple solution approaches with intuition, complexity, and implementation details.
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