Model Context Protocol | MCP | 2025 , Understand the Theory behind MCP | Build MCP Servers with FastMCP & Deploy on Google Cloud.
Course Description
The AI industry just unified around ONE integration standard – and you need to know it.
In March 2025, OpenAI officially adopted MCP. Google DeepMind followed in April, calling it “rapidly becoming the open standard for the AI agentic era.” Over 5,000 MCP servers now exist in the ecosystem, growing from zero in just 6 months.
This isn’t just another protocol – it’s the “USB-C for AI applications” that enterprises like Goldman Sachs, AT&T, and Block are already using in production.
The Problem MCP Solves
Before: “Who are our at-risk customers?” → “I don’t have access to your CRM system…”
After: “Based on your Salesforce data, 5 enterprise customers are at risk this month: Acme Corp has 72% decreased usage, 3 open tickets, renewal in 45 days…”
What You’ll Build
Create a Support Assistant:
- MCP Server with FastMCP (Python)
- Real-time log monitoring and customer data integration
- AI-powered support summaries using live business data
- Containerized deployment on Google Cloud with Docker
Why This Course Is Critical NOW
Industry Standard: OpenAI, Google, Microsoft Azure all support MCP
Explosive Growth: 5,000+ servers created in 6 months
Enterprise Adoption: AWS, Block, Apollo, GitHub using it in production
Developer Velocity: Zed, Replit, Sourcegraph building on MCP
Career Future-Proofing: Join the ecosystem before it becomes mandatory
What You’ll Master
MCP Protocol Mastery: Architecture, transports
FastMCP Development: Tools, Resources, Prompts, and Sampling
Enterprise Integration: Real business data connections
Production Deployment: Docker, Google Cloud, monitoring
Don’t get left behind. While others scramble to learn MCP when it becomes mandatory, you’ll already be the expert building the next generation of AI-integrated applications.
