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AI / Agentic AI Interview Questions

What is the Model Context Protocol (MCP)?

The Model Context Protocol is a standardized way for AI agents and applications to share tools, resources, and context, so agents can coordinate workflows across different systems more reliably.

  • Lets an agent discover what tools and resources are available from an MCP server, rather than needing them hardcoded
  • Uses JSON-RPC under the hood, supporting long-lived, stateful sessions with streaming results
  • Aims to solve the interoperability problem of siloed agents that can't easily share capabilities or context

Rather than every agent framework inventing its own way to expose tools, MCP gives agent developers and tool providers a common protocol to build against.

What problem does MCP primarily aim to solve?
What underlying protocol does MCP use for communication?

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