What is MCP?
Model Context Protocol (MCP) is a protocol that enables LLMs to access custom tools and services. An MCP client can make requests to MCP servers to access tools they provide.
@simonberner
基本情報
Example project showing how to build a simple MCP Server (and having it on Smithery!)
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-calculator-simonberner": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@simonberner/mcp-server-calculator",
"--client",
"claude"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
This is a simple example MCP server that provides basic math operations (addition, subtraction, multiplication, division) to an MCP client. It demonstrates how to build an MCP server from scratch using Python and the MCP SDK, intended for developers learning the Model Context Protocol.
Install automatically via Smithery (npx -y @smithery/cli install @simonberner/mcp-server-calculator --client claude), or set up the development environment using Nix/direnv or manually with uv. Run locally with mcp dev src/mcp_server_calculator/calculator.py and test using MCP Inspector. Integrate with an MCP host by adding the server configuration to the host's mcp config file (e.g., for Claude Desktop).
Model Context Protocol (MCP) is a protocol that enables LLMs to access custom tools and services. An MCP client can make requests to MCP servers to access tools they provide.
You can install it via Smithery, use the Nix development environment with direnv, or set it up manually with `uv`. For hosts like Claude Desktop, add the server configuration to your mcp config.
Python 3, the MCP SDK, the MCP CLI, and pytest. Optionally Nix (or Lix) for a reproducible environment.
Run `mcp dev src/mcp_server_calculator/calculator.py` and open MCP Inspector at http://localhost:5173 to test the server via a GUI.
The server is stateless; all math operations are computed in memory and no data is persisted.
The server runs as a Python script over stdio, configured locally in the MCP host’s configuration file. It is not a remote server.


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