Workshop: Automating Test Environments for DevOps & QA
summary
Demonstrates Model Context Protocol as a concrete layer that turns LLM agents into real automation: a local Python MCP using fastmcp exposes resources, tools, prompts and communicates over standard IO or HTTP. Labs run a Root Code IDE agent against a sample flight MCP server (search_flights, create_booking), plus a QA test‑kit MCP that provisions Postgres/Redis, returns connection and health, seeds data, and tears down. Examples run end to end in the sandbox and surface required auth, JSON schemas, and prompts for safe, reusable automation.
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chapters (10)
- 0:00MCP and workshop overview
- 3:19Agentic DevOps challenges
- 14:28AI agent explained
- 23:41Need for Model Context Protocol
- 37:04MCP architecture
- 50:05MCP specification
- 1:03:45Using MCP server
- 1:12:01Building MCP server for QA
- 1:24:49Secure MCP server testing
- 1:25:52MCP security & scalability Q&A
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