Model Context Protocol (MCP)
Master the MCP protocol: client-server architecture, Tools, Resources, Prompts and building MCP servers in Python, Typescript and Java.
Markdown versionLearning objectives
- Understand the foundations and protocol of MCP
- Discover the three key components: Tools, Resources and Prompts
- Understand the client-server architecture and build MCP servers
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.
Prerequisites
- Have software development experience
- Know Python, TypeScript or Java
- Be comfortable with a terminal
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