MCP Servers

A collection of Model Context Protocol servers, templates, tools and more.

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Build Next Gen Ai Agents With MCP
by @Ratnesh-181998
GitHub Repo(1 stars)

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.

Created 1/12/2026
Updated about 11 hours ago
README
View Source
Repository documentation and setup instructions

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

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

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📜 License

License

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

📞 CONTACT & NETWORKING 📞

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📊 GitHub Stats & Metrics 📊

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Quick Setup
Installation guide for this server

Install Package (if required)

docker run -i Ratnesh-181998/Build-Next-Gen-AI-Agents-with-MCP

Cursor configuration (mcp.json)

{ "mcpServers": { "ratnesh-181998-build-next-gen-ai-agents-with-mcp": { "command": "docker", "args": [ "run", "-i", "Ratnesh-181998/Build-Next-Gen-AI-Agents-with-MCP" ] } } }
Author Servers
Other servers by Ratnesh-181998

Weather MCP A2a

MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.

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