mcp
AI, ML & GenAI 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 connects an agent to external tools, data, and prompts through one uniform interface, so a single integration serves many hosts instead of bespoke glue written per model. Servers publish tools, resources, and prompts with typed schemas; clients discover and invoke them at runtime. Applied AI interviews test it because what usually keeps an agent from shipping is integration plumbing rather than model quality.🤖 Retrieval & AgentsSign in
Core
Agent Security: Tool Poisoning, Memory Poisoning, ContainmentAgent security covers threats that appear only 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. AI, ML, and GenAI 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