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MCP Server Example

@y16ra

MCP Server Example について

概要はまだありません

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

y16ra

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-example-y16ra": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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 Server Example?

MCP Server Example is a minimal implementation of a Model Context Protocol (MCP) server built with Python. It provides simple utility functions and is intended as a starting point for developers learning to build MCP servers.

How to use MCP Server Example?

Clone the repository and run python server.py to start the server. For debugging and interactive testing, use mcp dev server.py which launches the MCP Inspector. The project manages dependencies via pyproject.toml.

Key features of MCP Server Example

  • Provides a hello_world function that returns a simple greeting
  • Provides an echo function that echoes back input text
  • Runs as a standalone Python server
  • Supports development mode with the MCP Inspector
  • Uses the official MCP Python SDK (mcp[cli])

Use cases of MCP Server Example

  • Learning how to structure an MCP server project
  • Testing the MCP protocol with a minimal, functional server
  • Prototyping new MCP functions before integrating into larger systems
  • Demonstrating MCP server deployment and debugging workflows

FAQ from MCP Server Example

What are the system requirements for MCP Server Example?

Python 3.13 or higher is required. Dependencies include httpx >= 0.28.1 and mcp[cli] >= 1.6.0.

How do I run the server in development mode?

Use the command mcp dev server.py to launch the server with the MCP Inspector for interactive debugging.

What functions does MCP Server Example expose?

The server exposes two functions: hello_world (returns a greeting) and echo (returns the input string unchanged).

How is the project dependency managed?

Dependencies are managed through pyproject.toml. Install them with a standard Python package manager (e.g., pip install . or pip install -e .).

Is there any authentication or transport configuration?

The README does not mention any authentication, transport, or data storage. It describes only a basic server implementation.

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