MCP on TCS Labs Academy

1. MCP Fundamentals

Mon, 01 Jan 0001 00:00:00 +0000

The Model Context Protocol (MCP) defines a common interface that lets agents and large language models connect to tools, data sources, and services without bespoke glue code for every combination. For infrastructure engineers, MCP shifts the integration problem from “how do I wire this agent to my platform” to “how do I expose the right capabilities safely and consistently.”

This course covers the foundational concepts you need before building MCP integrations for Meshery. You will learn what MCP is and why it exists, what the three core primitives are, how the client/server transport model works, and how to decide when MCP is the right architectural choice versus a plain script or CLI wrapper.

Build MCP

Mon, 01 Jan 0001 00:00:00 +0000

MCP Basics

Mon, 01 Jan 0001 00:00:00 +0000

2. Building MCP Tools for Meshery

Mon, 01 Jan 0001 00:00:00 +0000

This course takes you from MCP theory to working tool implementations. You will design well-scoped tools that give an agent precise control over Meshery without exposing unsafe surface area, back those tools with Meshery’s REST and GraphQL APIs, and model live cluster state from MeshSync as first-class MCP resources an agent can fetch on demand.

Each lesson builds on the last: good tool design shapes the API mapping, the API mapping determines what state is available as resources, and solid testing practices ensure the whole stack is reliable before you connect a real agent. By the end of the course you will have a working MCP server that an agent can use to inspect workloads, list designs, and query cluster state - all without requiring the agent to understand Meshery’s internal APIs directly.

Certified AI-Native Infrastructure Professional (CAINP)

Mon, 01 Jan 0001 00:00:00 +0000

The Certified AI-Native Infrastructure Professional (CAINP) is the TCS Labs Academy’s advanced credential. It validates that you can operate cloud native infrastructure with coding agents in production - observing, diagnosing, responding, performance-testing, and self-healing with Meshery - and that you can integrate agents safely with Meshery through the Model Context Protocol while governing the whole pipeline.

How you earn it 🔗

The credential has two required parts: