MCP for LLM Agents, Infrastructure APIs & Data Services
summary
Explains how the Model Context Protocol makes tool calling reusable by wrapping REST/DB APIs as MCP servers and connecting them to clients like Cloud Desktop, VS Code, Cursor and agent SDKs (Google ADK, Crew AI), with concrete demos using Neo4j, MCP Inspector and Google’s MCP toolbox. Covers server types (local stdio servers vs remote JSON‑RPC/SSE servers), MCP features (tools, resources, prompts, sampling), practical dev uses (live query validation, auto‑generated GraphQL, CI tests), and gaps: security/OAuth, statefulness, deployment and messy registries.
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chapters (20)
- 0:00Introduction to Model Context Protocol
- 1:03Why MCP over REST
- 2:48Integration problem before MCP
- 5:59What MCP stands for
- 7:51MCP adoption and security
- 8:11MCP architecture explained
- 10:41MCP server capabilities
- 13:51Statefulness and scalability
- 14:34MCP hosts and clients
- 16:40MCP registries and growth
- 17:22MCP server security
- 18:25MCP with data services
- 27:20Debugging MCP servers
- 28:27Memory MCP server
- 31:58MCP for infrastructure APIs
- 38:42MCP with agent SDKs
- 41:11Multi-agent MCP setups
- 43:16MCP challenges and gaps
- 45:47MCP client compatibility
- 46:09Q&A
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