GitHub MCP Server Practice Repository

@soso0024

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基本情報

カテゴリ

バージョン管理

トランスポート

stdio

作者

soso0024

GitHub MCP Server Practice Repository について

Practice repository for MCP server implementation

GitHub MCP Server Practice Repository の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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GitHub MCP Server Practice Repository のツール

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。

概要

What is GitHub MCP Server Practice Repository?

This repository is a practice repository for the GitHub MCP Server. It contains Python programs implementing different approaches to calculating Fibonacci sequences, designed for learning GitHub basic operations such as branch management and Pull Requests.

How to use GitHub MCP Server Practice Repository?

Clone the repository and run the provided Python functions. For example, call fibonacci_sequence(10) to generate the first ten terms, or fibonacci_iterative(10) to compute the 10th term.

Key features of GitHub MCP Server Practice Repository

Recursive Fibonacci implementation (fibonacci_recursive)
Iterative Fibonacci implementation (fibonacci_iterative)
Sequence generation function (fibonacci_sequence)
Performance comparison between recursive and iterative approaches

Use cases of GitHub MCP Server Practice Repository

Practicing branch creation and management on GitHub
Creating and reviewing Pull Requests with sample code
Learning different Fibonacci algorithm strategies
Comparing algorithm efficiency for small vs large numbers

よくある質問

What programming language is used?

Python.

What functions are included?

Three functions: `fibonacci_recursive`, `fibonacci_iterative`, and `fibonacci_sequence`.

What is the main purpose of this repository?

It serves as a practice ground for GitHub MCP Server operations, including version control workflows.

Are there any dependencies?

The README only lists the Python standard library; no external dependencies are mentioned.

What is the performance difference between recursive and iterative approaches?

The recursive approach is easy to understand but inefficient for large numbers, while the iterative approach is more efficient and suitable for large calculations.