mcp
Applied AI interview questions tagged mcp, across every topic.
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Concepts behind "mcp"
The curriculum that explains the ideas these questions test.
Core
Model Context Protocol (MCP)MCP is an open client-server standard that lets an agent connect to external tools, data, and prompts through a uniform interface, so one integration works across many hosts instead of writing bespoke glue per model. Servers expose tools, resources, and prompts with typed schemas; clients discover and call them at runtime. Applied AI interviews probe it because integration plumbing, not model quality, is usually what blocks an agent from shipping.🤖 Retrieval & AgentsSign in
Core
Agent Security: Tool Poisoning, Memory Poisoning, ContainmentAgent security covers threats that only exist once an LLM can call tools and act on their results: malicious tool or MCP responses, poisoned long-term memory, privilege escalation through tool misuse, and goal hijacking. The defense is runtime containment, least-privilege tools, kill-switches, and blast-radius limits, not better prompting. Applied AI interviews probe it because anyone shipping agents has to reason about what happens when an untrusted string steers a system that can spend money or delete data.🛡️ AI Security, Privacy & GovernanceSign in