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- MCP-CRASH-Course
Mcp Crash Course
What is Mcp Crash Course
MCP-CRASH-Course is a basic example of a Model Context Protocol (MCP) server implementation that showcases essential functionalities, including tools and resources for development.
Use cases
Use cases include developing educational tools, creating chatbots that provide personalized responses, and implementing basic arithmetic operations in applications.
How to use
To use MCP-CRASH-Course, initialize the project, create a virtual environment, install dependencies, and run the server using the provided commands in the README.
Key features
Key features include basic arithmetic tools (add and subtract functions) and a resource for personalized greetings. The server can be run in development mode or installed in the Claude desktop app.
Where to use
MCP-CRASH-Course can be used in software development environments, particularly for building applications that require context-aware interactions and functionalities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Crash Course
MCP-CRASH-Course is a basic example of a Model Context Protocol (MCP) server implementation that showcases essential functionalities, including tools and resources for development.
Use cases
Use cases include developing educational tools, creating chatbots that provide personalized responses, and implementing basic arithmetic operations in applications.
How to use
To use MCP-CRASH-Course, initialize the project, create a virtual environment, install dependencies, and run the server using the provided commands in the README.
Key features
Key features include basic arithmetic tools (add and subtract functions) and a resource for personalized greetings. The server can be run in development mode or installed in the Claude desktop app.
Where to use
MCP-CRASH-Course can be used in software development environments, particularly for building applications that require context-aware interactions and functionalities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
- Initialize the project (Go to any local folder and launch powershell or cmd):
uv init mcp-server-basic
cd mcp-server-basic
-
Create virtual environment and activate it
uv venv .venv\Scripts\activate
- 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 numberssubtract(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):
Project Structure
main.py: Main server implementation with tools and resourcespyproject.toml: Project configuration and dependencies
2.0 Agentic AI And GENERATIVE AI With MCP Bootcamp
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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










