davidhayesbc
MCP Serverdavidhayesbcpublic

mcp demo

一个用于演示 MCP 服务器配置和运行的示例项目。

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About This Server

一个用于演示 MCP 服务器配置和运行的示例项目。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Prerequisites

Install uv (Python Package Manager)

Run the following command in PowerShell to install uv:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

For more details, refer to the uv installation guide.

Clone the Repository

Clone the repository using the following command:

git clone https://github.com/davidhayesbc/mcp-demo.git

Open the Project in VS Code

Navigate to the project directory and open it in Visual Studio Code:

cd mcp-demo
code .

If you don't have Visual Studio Code installed, download it from the official website.

Synchronize Dependencies

Run the following command to synchronize dependencies:

uv sync

Refer to the uv documentation for more details on dependency management.

Update Configuration

Edit the .vscode/mcp.json file and update the path to point to the location of main.py. For guidance, see the MCP configuration documentation.


Run the MCP Server

  1. Use Ctrl+Shift+P to open the Command Palette in Visual Studio Code.
  2. Search for MCP: List Servers and select it.
  3. Choose the my-weather server.
  4. Select Start Server.

You can now enable Copilot's Agent Mode and ask it:

"Tell me about the weather this weekend."

It will ask you to confirm this is ok if this is the first time you've run the server

For more information, visit the MCP server documentation.

Quick Start

1

Clone the repository

git clone https://github.com/davidhayesbc/mcp-demo
2

Install dependencies

cd mcp-demo
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerdavidhayesbc
Repomcp-demo
LanguageHTML
License-
Last fetched8/10/2025

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