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
Explore MCP in the interactive universe or train with live cohorts.
Want this MCP learning path turned into your own plan?
A roadmap shows the destination. In 1:1 mentorship I turn it into a week-by-week learning path for your background, review your projects, and prepare you for interviews until you land the role. Online, in your time zone.
Start with one 60-minute 1:1 call: .
Prefer a structured live course? Join the MLOps · AIOps · LLMOps · Agentic AI masterclass →