AI Agentic chatbot using LangGraph + LangChain + Groq + MCP

Hey everyone,

I’m a MERN stack developer recently diving deep into the world of AI — not just reading, but building real things.

Over the past few weeks, I’ve built an AI Agentic chatbot using LangGraph + LangChain + Groq + MCP powered AI agent Chatbot that connects to real APIs (Weather & Crypto).

Uses LangGraph and MCP to orchestrate real tool usage
Calls Python microservices I wrote myself (even though I was new to Python!)
Is connected to a chatbot interface using Streamlit

📹 I documented everything in a short Loom video — it’s real, working, and beginner-built:👉 https://www.youtube.com/watch?v=KAq3U_OXM0M&t=41s

Why I’m here:

✅ I’m learning by doing, not just tutorials

✅ I want to work with real AI engineers or startups — contribute to real-world projects

✅ I’m hungry to learn RAG, tool use, agents, and AI infra the right way

If you're building something exciting or want help prototyping your next agent/AI assistant — I’m happy to collaborate, shadow, or contribute. My goal is to build portfolio-worthy work and learn from people ahead of me.

Would love to hear your thoughts, feedback, or even where I can level up.

Let’s build!

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