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Build Agentic AI And Gen AI Agents With MCP

mcp-ratnesh-181998-build-agentic-ai-and-gen-ai-agents-with-mcp · by Ratnesh-181998

Model Context Protocol (MCP) Bootcamp offers a deep dive into MCP architecture and its role in the Agentic AI ecosystem. Learn to build real-world, production-ready AI workflows using MCP with LangChain, LangGraph, and CrewAI through fully practical, project-based implementations.

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Install

$ agentstack add mcp-ratnesh-181998-build-agentic-ai-and-gen-ai-agents-with-mcp

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

10 Python AI/ML libraries

  • 📊 Scikit-Learn 👉

🌐Official Website 📘 Documentation

  • 🚀 XGBoost 👉

🌐Official Website 📘 Documentation

  • ⚡ LightGBM 👉

🌐Official Website 📘 Documentation

  • 🧠 TensorFlow 👉

🌐Official Website 📘 Documentation

  • 🎯 Keras 👉

🌐Official Website 📘 Documentation

  • 🔥 PyTorch 👉

🌐Official Website 📘 Documentation

  • 🤖 Transformers (Hugging Face) 👉

🌐Official Website 📘 Documentation

  • 🧩 spaCy 👉

🌐Official Website 📘 Documentation

  • Complete Agentic AI Course In 10 Hours- Langchain, Langgraph, RAG,Vectorless RAG, Guardrails,Evals : https://www.youtube.com/watch?v=rV3HJ4LEZ7k

Build Agentic AI and Gen AI Agents with MCP

  • Model Context Protocol (MCP) Bootcamp offers a deep dive into MCP architecture and its role in the Agentic AI ecosystem. Learn to build real-world, production-ready AI workflows using MCP with LangChain, LangGraph, and CrewAI through fully practical, project-based implementations.
  • https://fastmcp.cloud/

Table of contents - Live Demo & Topics in Details Coming Soon

Section 1 Model Context Protocol

Section 2 Getting Started With Claude Desktop And Cursor IDE

Section 3 Cursor IDE MCP Server Setup

Section 4 How to build Your Own MCP Client using Python and Google Gemini API

Section 5 How to build Docker MCP Server

Section 6 LangChain MCP Client using LangChain MCP Adapters

Section 7 MCP Client with Multiple Server Support

Section 8 MCP Server and Client using SSE

Section 9 Deploying MCP Server to AWS Cloud Platform

Section 10 Real Time Weather Agent using MCP and MCP Inspector

Section 11 Real Time Job Recommendation System

Section 12 StoryForge Agent

Section 13 Clinisight AI

Section 14 Build Agent with Google Development Kit ADK

Model Context Protocol (MCP) – The USB-C for AI Applications%20%E2%80%93%20The%20USB-C%20for%20AI%20Applications.pdf)

Just explored an incredible book on Model Context Protocol (MCP)

— and honestly, it completely reshaped how I think about the future of Agentic AI.

  • For years, AI systems have been powerful individually, but fragmented when it comes to collaboration, context-sharing, scalability, and orchestration.
  • MCP changes that.
  • This book explains how MCP is becoming the foundational communication layer for next-generation AI ecosystems — enabling AI agents, tools, servers, and workflows to operate with shared context, adaptive intelligence, modularity, and secure multi-agent coordination.

Why MCP matters for the future of AI:

📜 License

Licensed under the MIT License - Feel free to fork and build upon this innovation! 🚀

📞 CONTACT & NETWORKING 📞

💼 Professional Networks

[](https://www.linkedin.com/in/ratneshkumar1998/) [](https://github.com/Ratnesh-181998) [](https://x.com/RatneshS16497) [](https://share.streamlit.io/user/ratnesh-181998) [](mailto:rattudacsit2021gate@gmail.com) [](https://medium.com/@rattudacsit2021gate) [](https://stackoverflow.com/users/32068937/ratnesh-kumar)

🚀 AI/ML & Data Science AI/ML 1620+ Problem Solved

[](https://share.streamlit.io/user/ratnesh-181998) [](https://huggingface.co/RattuDa98) [](https://www.kaggle.com/rattuda)

💻 Competitive Programming Including all coding plateform's 5000+ Problems/Questions solved

[](https://leetcode.com/u/Ratnesh1998/) [](https://www.hackerrank.com/profile/rattudacsit20211) [](https://www.codechef.com/users/ratnesh181998) [](https://codeforces.com/profile/Ratnesh181998) [](https://www.geeksforgeeks.org/profile/ratnesh1998) [](https://www.hackerearth.com/@ratnesh138/) [](https://www.interviewbit.com/profile/rattudacsit2021gated9a25bc44230/)

📊 GitHub Stats & Metrics 📊

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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