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Building MCP Servers for Ops Systems

Learn to build an MCP server that gives AI agents safe, read-only access to Kubernetes, Prometheus, and runbooks, with least-privilege RBAC.

~4 hours
9 Topics
Hands-on Scenarios

What You'll Learn

Understanding Why an Ops Agent Needs an MCP Server

What an MCP server is and what problem it solves An MCP server is a small program that exposes tools to AI applications over one standard protocol...

Designing a Safe Tool Surface

Read, write, and escalate: the three kinds of tool A tool surface should separate tools that only look from tools that change things.

Giving the Server Least-Privilege Access

Why Kubernetes RBAC only adds permissions Kubernetes RBAC (role-based access control) is a list of things an identity is allowed to do.

Building the Server with FastMCP

Installing the SDK and choosing a version The official MCP Python SDK includes a high-level server class that turns ordinary Python functions into...

Testing the Server Before Any Agent Touches It

Checking tools with the MCP Inspector The MCP Inspector is a browser tool that connects to your server, lists its tools, and lets you call each one...

Connecting an Agent Through llm.py

Turning MCP tools into model tool definitions An MCP tool carries a name, a description, and a JSON schema.

Skills You'll Master

MCPAI-AGENTSKUBERNETESPROMETHEUSAIOPS

Curriculum Index9 topics

Career Impact

Roles that use the skills in this module.

  • AIOps Engineer

    ₹18L - ₹35L a year

    High Demand
  • AI Platform Engineer

    ₹20L - ₹40L a year

    High Demand
  • Platform Engineer

    ₹15L - ₹28L a year

    Growing
See how this is asked in interviews

Practice on the Coding Sheet

Not a software engineer sheet. Every problem comes from real DevOps, SRE, Platform and Cloud interviews, from your first script to a system you build yourself.

Open the Coding Sheet