Building AI-Enabled Spring Applications with Model Context Protocol (MCP)
summary
Model Context Protocol claims to be “HTTP for LLMs,” a provider‑agnostic standard that packages MCP server primitives (tools, resources, prompts) so models see only curated context. Example uses Spring/Java to serve a scraped sessions.json as an MCP server, exposed via stdio locally or streamable HTTP for Cloud Desktop and ChatGPT/Claude. Practical guidance: keep tool catalogs to 5–20 core tools. Demo compiles to a jar or native binary, connects to hosts, and answers conference queries (the day counts reported end up inconsistent in the demo).
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chapters (12)
- 0:00Introduction to MCP
- 1:06Understanding Model Context Protocol basics
- 3:16Limitations of large language models
- 7:10Solving LLM limits with tools
- 11:02What is MCP
- 13:27MCP vs traditional APIs
- 14:52MCP vs AI tools
- 15:56MCP primitives
- 18:24MCP transports
- 19:08Building MCP servers with Spring
- 21:34Live Spring MCP demo
- 25:27Q&A
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