A new seven-part series on DEV.to is making a direct case to network engineers: your devices need MCP servers. The opening installment, published August 1 under the handle uzi_golan, sets up an arc focused on AI-assisted network operations built from MCP servers, Agent Skills, knowledge catalogs, and safety models — with the stated goal of turning AI into "a real network operations teammate."

The Pitch: From Chatbots to Shared Infrastructure

The series frames today's state of play as private chatbots — useful in isolation, but not something you'd hand production responsibilities. Part one sketches the move toward shared, reusable infrastructure where those four building blocks work together. That positions MCP servers less as a novelty and more as plumbing: the layer that lets models actually reach into network devices instead of working from guesses. For anyone who builds or operates infrastructure tooling, this lands at a moment when structured AI access is moving from novelty to expectation. Network operations has been slower than other domains to get it — high stakes, messy interfaces, and no room for an assistant that half-knows your environment. A seven-part treatment suggests there's real substance planned rather than a single how-to post.

What Comes Next

This is explicitly part one of seven, so the deep implementation details should arrive in later installments. For now, the series has staked out its territory: MCP servers on network devices as a path from throwaway chatbot experiments to infrastructure an entire team can share and reuse.

Key Takeaways

  • A new DEV.to series argues your network devices need MCP servers for AI-assisted operations
  • Building blocks named in part one: MCP servers, Agent Skills, knowledge catalogs, safety models
  • The arc runs from private chatbots to shared, reusable infrastructure across seven installments

The Bottom Line

If you've been treating AI as a chat window bolted onto your ops workflow, this series is aimed squarely at you. The shift from private experiments to shared MCP-based tooling is where the actual value sits — and with six more parts coming, somebody's planning to show the work.