What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. It works like a USB‑C port for AI applications, connecting models to data sources and tools.
@antonioscapellato
基本情報
MCP Server Sample
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-sample-antonioscapellato": {
"command": "uv",
"args": [
"run",
"mcp"
]
}
}
}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。
MCP Server Sample is an educational implementation of a Model Context Protocol (MCP) server. It demonstrates how to build a functional MCP server that integrates with various LLM clients.
Install Python 3.10 or higher and the MCP SDK 1.2.0 or higher. Use uv or pip to add "mcp[cli]" to your project. Create a server script using FastMCP, then run it with mcp dev server.py for testing or mcp install server.py to use with Claude Desktop.
add) and a dynamic greeting resource (greeting://{name})MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. It works like a USB‑C port for AI applications, connecting models to data sources and tools.
Python 3.10 or higher, MCP SDK 1.2.0 or higher, and the `uv` package manager.
Add `"mcp[cli]"` to your project with `uv add "mcp[cli]"` or `pip install "mcp[cli]"`. Write a `server.py` file, then run `mcp dev server.py` for interactive testing or `mcp install server.py` to register with Claude Desktop.
It demonstrates two core MCP capabilities: a tool (`add` that sums two integers) and a resource (`greeting://{name}` that returns a personalized greeting).
Add more `@mcp.tool()` or `@mcp.resource()` decorators with your own functions, following the patterns shown in the quickstart code.
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