Demonstração do Servidor MCP

Name: Demonstração do Servidor MCP
Author: tiagonpsilva

@tiagonpsilva

代码仓库

关于 Demonstração do Servidor MCP

暂无概览

#mcp #server #api #python

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

tiagonpsilva

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.