Revolutionizing Technology with MCP, Gemini, and LangGraph: A 60-line Python Journey

Published On Tue Apr 01 2025
Revolutionizing Technology with MCP, Gemini, and LangGraph: A 60-line Python Journey

MCP x Gemini x LangGraph! Here is a 60 line Python Google DeepMind

Gemini 2.5 Pro multi-MCP Server (remote/stdio) Agent with LangChain LangGraph ReAct. Time to build! Comparing LangChain with LLAMA Index

Code: https://lnkd.in/e_TBjwcF

Building Your Own MCP Server

Working on a detailed guide on how you can build your own MCP Server too! Head of Technology Platform @ VPBank | AWS Community Builder | Keynote Speaker | Cloud Native Enthusiast. If you are interested in running multiple MCP servers, check out my project where I built an MCP server with WebAssembly plugin system.

You can write a plugin in any language that supports wasm, publish it to OCI registry to share with others. Visit https://github.com/tuananh/hyper-mcp for more information.

MCP Server and LangChain Comparison

I was wondering if LangChain has the equivalent of McpToolSpec from LlamaIndex and voila! LangChain vs LlamaIndex: A Detailed Comparison

Many thanks to Philipp Schmid, Founder @ CompoundingAI for the insights.

Gemini 2.5 Pro Capabilities

Gemini 2.5 Pro is excellent for vibe coding. It can generate MCP server code for you.

For more information, visit https://www.linkedin.com/feed/update/urn:li:activity:7312225860097323008

Real-world Applications

This looks really solid! Can you share some real-world applications built with this technology?

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