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krishnaik06/mcp-crash-course

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本页由 AI 翻译,技术细节请以原文为准。 查看原文

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krishnaik06/mcp-crash-course 是从 https://github.com/krishnaik06/mcp-crash-course. 导入的 MCP 服务器候选服务器。

概览

krishnaik06/mcp-crash-course 是从 https://github.com/krishnaik06/mcp-crash-course. 导入的 MCP 服务器候选服务器。

概述(AI 翻译)

这是一个模型上下文协议(MCP)服务器实现的基本示例,展示了包括工具和资源在内的核心功能。

设置步骤

  1. 初始化项目(进入任意本地文件夹,启动 PowerShell 或 cmd):

  2. 创建虚拟环境并激活

  3. 安装依赖:

或

特色

服务器实现了以下功能:

工具

  • add(a: int, b: int):加两个数字
  • subtract(a: int, b: int):从第一位数中减去第二个数字

资源

  • greeting://{name}:返回个性化问候语

运行服务器

为了开发运行带有MCP检查器的服务器:

正常运行服务器:

要在 Claude 桌面应用中安装服务器:

MCP 连接 VS 代码

  • 在 vs 代码中打开文件夹/mcp-server-basic

  • 打开终端并执行以下命令:

  • 点击 Cntrl+Shift+I 在 vs 代码中启动聊天

  • 用 GitHub 登录并设置

  • 按照以下步骤(为 vs Code 用户设置添加 mcp 配置有两种方式):

观看演示

项目结构

  • main.py:主服务器实现,配备工具和资源
  • pyproject.toml:项目配置与依赖关系

2.

本页由 AI 翻译,技术细节请以原文为准。

README

MCP Server Basic Example

This is a basic example of a Model Context Protocol (MCP) server implementation that demonstrates core functionality including tools and resources.

Setup Steps

  1. Initialize the project (Go to any local folder and launch powershell or cmd):
uv init mcp-server-basic
cd mcp-server-basic
  1. Create virtual environment and activate it

  uv venv
  .venv\Scripts\activate
  1. Install dependencies:
uv add "mcp[cli]"

or

uv add -r requirements.txt

Features

The server implements the following features:

Tools

  • add(a: int, b: int): Adds two numbers
  • subtract(a: int, b: int): Subtracts second number from first

Resources

  • greeting://{name}: Returns a personalized greeting

Running the Server

To run the server with the MCP Inspector for development:

uv run mcp dev main.py

To run the server normally:

uv run mcp run

To install the server in Claude desktop app:

uv run mcp install main.py

MCP connect in VS code

  • Open folder/mcp-server-basic in vs code
  • open terminal and run below command :
uv run main.py
  • Click Cntrl+Shift+I to launch chat in vs code
  • Do login with Github and setup
  • Folow the below steps (two way to add mcp configuration for vs code user settings):

Watch the demo

Project Structure

  • main.py: Main server implementation with tools and resources
  • pyproject.toml: Project configuration and dependencies

2.0 Agentic AI And GENERATIVE AI With MCP Bootcamp

Enroll Now

Course Overview:

Mentors: Sourangshu Paul, Mayank Aggarwal , Krish And Sunny

Start Date:May 10th 2025

Timing: 8am to 11am IST(Saturday And Sunday)

Duration : 4-5 months

This course is designed for AI developers, machine learning engineers, data scientists, and software engineers looking to build expertise in agentic AI, multi-agent systems, and AI-powered automation. Whether you are new to AI agents or have experience in NLP and GenAI, this course will equip you with the knowledge and hands-on skills required to develop, deploy, and manage AI agents at scale. By the end of the course, you will have a strong foundation in agentic AI frameworks, multi-agent collaboration, real-world automation, and end-to-end AI deployment, along with practical experience through real-world projects.

在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手?先看 mcpskill.org 教程 →