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MCP Server Example

@y16ra

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

y16ra

关于 MCP Server Example

暂无概览

MCP Server Example 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-example-y16ra": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

MCP Server Example 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 MCP Server Example?

MCP Server Example is a minimal implementation of a Model Context Protocol (MCP) server built with Python. It provides simple utility functions and is intended as a starting point for developers learning to build MCP servers.

How to use MCP Server Example?

Clone the repository and run python server.py to start the server. For debugging and interactive testing, use mcp dev server.py which launches the MCP Inspector. The project manages dependencies via pyproject.toml.

Key features of MCP Server Example

  • Provides a hello_world function that returns a simple greeting
  • Provides an echo function that echoes back input text
  • Runs as a standalone Python server
  • Supports development mode with the MCP Inspector
  • Uses the official MCP Python SDK (mcp[cli])

Use cases of MCP Server Example

  • Learning how to structure an MCP server project
  • Testing the MCP protocol with a minimal, functional server
  • Prototyping new MCP functions before integrating into larger systems
  • Demonstrating MCP server deployment and debugging workflows

常见问题

1

What are the system requirements for MCP Server Example?

Python 3.13 or higher is required. Dependencies include `httpx >= 0.28.1` and `mcp[cli] >= 1.6.0`.

2

How do I run the server in development mode?

Use the command `mcp dev server.py` to launch the server with the MCP Inspector for interactive debugging.

3

What functions does MCP Server Example expose?

The server exposes two functions: `hello_world` (returns a greeting) and `echo` (returns the input string unchanged).

4

How is the project dependency managed?

Dependencies are managed through `pyproject.toml`. Install them with a standard Python package manager (e.g., `pip install .` or `pip install -e .`).

5

Is there any authentication or transport configuration?

The README does not mention any authentication, transport, or data storage. It describes only a basic server implementation.

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