Demonstração do Servidor MCP

Name: Demonstração do Servidor MCP
Author: tiagonpsilva

@tiagonpsilva

リポジトリ

Demonstração do Servidor MCP について

概要はまだありません

#mcp #server #api #python

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

tiagonpsilva

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-demo-tiagonpsilva": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

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 Demonstração do Servidor MCP?

Demonstração do Servidor MCP is a reference implementation of an MCP (Mission Control Protocol) server built with the MCP Python SDK. It provides a simple, efficient platform for creating and managing APIs based on resources and tools using the MCP protocol. It is intended for developers who want to learn or prototype MCP-based services.

How to use Demonstração do Servidor MCP?

Clone the repository, set up a Python virtual environment (optional), and install dependencies with pip install -e .. Run the server with python -m server. The server exposes defined endpoints; for example, you can call a tool via curl -X POST "http://localhost:8000/tools/add" with JSON body {"a": 5, "b": 10} or fetch a greeting resource via curl -X GET "http://localhost:8000/resources/greeting/Maria".

Key features of Demonstração do Servidor MCP

Quick tool creation via Python decorators (@mcp.tool())
Dynamic resource exposure with URL patterns (@mcp.resource())
Easy integration with existing systems
Intuitive API for service development
Based on the official MCP Python SDK

Use cases of Demonstração do Servidor MCP

Learning how to build an MCP server from scratch
Prototyping tools and resources for a proof‑of‑concept
Testing MCP client integrations in a controlled environment
Demonstrating MCP concepts in workshops or tutorials

FAQ from Demonstração do Servidor MCP

What is MCP in this project?

MCP here stands for Mission Control Protocol, a protocol for creating and managing APIs based on resources and tools. The server is built using the official MCP Python SDK.

What are the system requirements?

Python 3.12 or higher and pip are required. Creating a virtual environment is recommended but optional.

How do I add a new tool to the server?

Define a function and decorate it with @mcp.tool(). The function’s parameters and docstring define the tool’s interface.

How do I add a new resource?

Define a function and decorate it with @mcp.resource("my-resource/{id}"). The URL pattern allows dynamic parameters.

Are there any known issues?

Yes. The automated tests have a known bug causing client integration tests to fail due to a test client configuration issue. This is listed as a pending fix.