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):
Create virtual environment and activate it
- Install dependencies:
or
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:
To run the server normally:
To install the server in Claude desktop app:
MCP connect in VS code
- Open folder/mcp-server-basic in vs code
- open terminal and run below command :
- 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.
This server cannot be installed
A simple implementation of a Model Context Protocol server that demonstrates core functionality including mathematical tools (add, subtract) and personalized greeting resources.