MCP

Model Context Protocol for connecting agents to enterprise tools and data.

Maturity level: L1 — Understand

Six perspectives on MCP

Roadmap

Learn after basic agents and tool use — emerging but high demand.

Architecture

Standard integration layer between agents and enterprise systems.

Company

Rapidly growing mention in agent and automation postings (2026).

Projects

Build MCP server for a real internal workflow.

Interview

Explain MCP resources vs tools vs prompts.

Career

Differentiator for FDE and Agentic AI roles.

What & Why

What: Open protocol for AI applications to connect to external tools, data, and prompts.

Why: Standardizes agent integrations with GitHub, databases, K8s, and internal systems.

Build this

MCP server connecting an agent to GitHub and Kubernetes.

Production reality

  • ! Auth scope creep
  • ! Tool permission boundaries
  • ! Latency from tool chains

Interview preparation

  • MCP vs direct API integration
  • Security boundaries for enterprise agents

Connected skills

LangChain

Explore MCP in the interactive universe or train with live cohorts.

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