Model Context Protocol (MCP)

Understand the foundations and protocol of the Model Context Protocol (MCP). Discover the three key components of MCP architecture: Tools, Resources and Prompts. Understand the client-server architecture and its different implementations.

MCP Fundamentals and Architecture

• Presentation of the day’s objectives and the MCP protocol
• Why MCP is a game changer in AI architecture
• Discover the 3 key server-side components: Tools (Functionality), Resources (Data), Prompts (Instructions)
• Understanding the Client-Server architecture redesigned for AI (LLM Client vs. MCP Server)

MCP Servers in Action

• Review of available SDKs (Python/TypeScript)
• Common server types (Filesystem, GitHub, PostgreSQL)
• Explanation of the MCP request lifecycle: from LLM request to Tool execution

Hands-on Workshops

Workshop 1: Building a Simple Python Server

Create and start a simple MCP server. Set up testing with FastMCP.

Workshop 2: Client Interaction - Java

Create and start a simple MCP server exposing a utility function.

Workshop 3: MCP & Agents

Build an AI agent and configure an MCP server with Cloud Run.