10 Agentic AI and MCP Interview Questions (2026)
The video presents ten agentic AI and MCP interview questions for 2026, without claiming that companies ask these exact questions. It explains agent loops, workflows, tool calling, and MCP, then describes changes in the July 2026 MCP spec.
Examples from the series illustrate fabricated web addresses, recovery from a missing file, prompt injection, and hooks that block access to a secret file. The later answers cover repeated evaluation, when simpler workflows are preferable, and how classic RAG differs from agentic retrieval. The conclusion favors building, testing, and fixing a small agent over memorizing answers.
Key points
- An agent lets the model choose steps in a tool-use loop, while a workflow fixes those steps in code.
- Tool calling requires application code to execute requests and return results or errors with the matching ID.
- MCP standardizes tool access across clients; the video describes the July 2026 spec as moving to stateless requests.
- Least privilege, allowlists, human approval, and code-based guardrails help limit damage from prompt injection.
- Agent evaluation checks outcomes and required or forbidden actions across repeated runs, rather than demanding one exact path.
- Simpler workflows can reduce cost and latency, while agentic RAG lets the model decide whether to retrieve more information.
Chapters
The description and key points were written with AI from the video's transcript and checked against it, then reviewed by Vishal on . The video plays from YouTube. How we write and check our work.
