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MCP Servers Learning Project

@sagarnildass

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

sagarnildass

MCP Servers Learning Project について

MCP Crash Course: Complete Model Context Protocol in a Day course from Udemy

MCP Servers Learning Project の設定

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": {
    "MCP-server-udemy": {
      "command": "python",
      "args": [
        "3_building_securing_and_containerizing_mcp_server/server.py"
      ]
    }
  }
}

MCP Servers Learning Project 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 MCP Servers Learning Project?

MCP Servers Learning Project is a repository containing examples and implementations of Model Context Protocol (MCP) servers and clients. It provides sample code in Python and TypeScript to help developers learn how to build MCP-based tools that allow LLMs like Claude to interact with external data sources and systems.

How to use MCP Servers Learning Project?

Clone the repository, install dependencies (Python 3.10+, MCP SDK 1.2.0+, and optionally Node.js/npm for TypeScript examples), then run any server using python <path_to_server.py> or mcp dev <path_to_server.py>. Connect a server to Claude Desktop with mcp install <path_to_server.py>.

Key features of MCP Servers Learning Project

  • Sample MCP client implementations in Python and TypeScript
  • Sample weather server in Python and TypeScript
  • Documentation server with advanced error handling
  • Terminal server exposing system command execution
  • Demonstrates tools, resources, and prompts concepts
  • Includes configuration examples for Claude Desktop integration

Use cases of MCP Servers Learning Project

  • Learning how to build and run MCP servers from scratch
  • Experimenting with MCP tools, resources, and prompts
  • Integrating LLMs with terminal commands or documentation sources
  • Creating a foundation for custom MCP-based applications

よくある質問

1

What is the difference between tools and resources in MCP?

Tools are functions that can be called by Claude to execute code or produce side effects; resources are data exposed to Claude that can be read and referenced.

2

What are the runtime requirements?

Python 3.10 or higher and MCP SDK 1.2.0 or higher are required. TypeScript examples need Node.js and npm.

3

Where can I find the MCP documentation?

The official Model Context Protocol documentation is available at [https://modelcontextprotocol.io](https://modelcontextprotocol.io).

4

What transport or authentication methods are used?

The README does not specify transport or authentication details beyond using the MCP CLI and standard SDK.

5

Are there any known limitations of the example servers?

The README does not list known limitations, but it encourages users to extend and modify the examples for their own use cases.

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