Ejemplo de Servidor MCP Server

@LeoR22

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LeoR22

Ejemplo de Servidor MCP Server について

概要はまだありません

#mcp #model-context-protocol #server

Ejemplo de Servidor MCP Server 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_python": {
      "command": "uv",
      "args": [
        "init",
        "mcp-server"
      ]
    }
  }
}

Ejemplo de Servidor MCP Server 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 Ejemplo de Servidor MCP?

This repository contains an implementation of a Model Context Protocol (MCP) server. It demonstrates how to build a functional MCP server that can integrate with various large language model (LLM) clients.

How to use Ejemplo de Servidor MCP?

Install the uv package manager, initialize a project, add dependencies (mcp[cli] and httpx), and create a main.py server file. Run the server with uv run main.py. For Claude Desktop, configure its claude_desktop_config.json with the absolute path to the server.

Key features of Ejemplo de Servidor MCP

Implements the Model Context Protocol as a server
Exposes resources, tools, and prompts capabilities
Integrates with LLM clients like Claude Desktop
Uses Python 3.10+ with the MCP SDK 1.2.0+
Lightweight and scriptable via the uv package manager

Use cases of Ejemplo de Servidor MCP

Building custom AI assistants with access to local data
Connecting LLMs to local files, databases, or remote APIs
Prototyping MCP‑based integrations for development and testing

よくある質問

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs, acting like a USB‑C port for AI apps.

What are the system requirements?

Python 3.10 or higher, MCP SDK 1.2.0 or higher, and the `uv` package manager.

How do I connect this server to Claude Desktop?

Edit `~/Library/Application Support/Claude/claude_desktop_config.json` with the absolute path to the server directory and the `uv run main.py` command, then restart Claude Desktop.

What capabilities can this server provide?

Resources (file‑like data), tools (functions callable by the LLM after user approval), and prompts (predefined templates for tasks).

What license is this project under?

This project is licensed under the MIT License.

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