30 minutes to understand MCP (Model Context Protocol)
summary
Claim: MCP normalizes sharing prompts and tools rather than reinventing AI. Demonstration uses Quarkus MCP server SSE and an MCP client, with HTTP SSE transport and JSON-RPC 2.0 wire format. Built a meeting-bot that offloads a createTask tool to a remote MCP server, discovered via tools/list and invoked with tools/call, using local llama 3.2 for completions and EasyRAG for retrieval. The remote tool invocation works end-to-end after small fixes, showing prompt templates, parameterized prompts and tool metadata are consumable by platforms.
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chapters (8)
- 0:00Introduction to MCP
- 2:01The challenges of AI apps
- 6:54Understanding tools and LLMs
- 10:04Defining the MCP protocol
- 14:11MCP architecture overview
- 16:59Live demo: building a bot
- 22:27Implementing an MCP server
- 29:29MCP and platform engineering
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