---
url: "https://xcademia.com/courses/mcp-model-context-protocol"
title: "MCP: Model Context Protocol"
description: " Learn Model Context Protocol (MCP) in this 3-day mentor-led course. Build MCP servers, connect LLMs to tools, and deploy secure AI integrations."
publishedAt: "2026-03-20T09:15:02.131046+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "CLD-0085"
level: Practitioner
duration_days: "3"
track: "IaC & Automation"
category: "Cloud & DevOps"
credential_tier: tier1
price_gbp: "1999"
---

# MCP: Model Context Protocol

> Learn to build and deploy MCP servers to connect AI models with external tools and systems. Develop skills through mentor-led sessions and practical scenarios covering transport, security, and integrations.

## Overview

The Model Context Protocol (MCP) is emerging as a key standard for connecting large language models (LLMs) with external tools, enabling more capable and context-aware AI systems. This mentor-led course introduces MCP architecture and focuses on building practical integrations between AI models and real-world services.

Through practical scenarios, learners will design, build, and host MCP servers, enabling secure communication between AI agents and external tools using transport methods such as STDIO and Server-Sent Events (SSE). The course emphasises interoperability, scalability, and structured communication patterns in AI ecosystems.

By the end of this programme, participants will be able to implement MCP-based integrations, manage secure data exchange, and deploy production-ready MCP services. This course is ideal for professionals building advanced AI integrations and automation platforms.

## Prerequisites

- Basic understanding of APIs and integrations
- Familiarity with automation or workflows
- General knowledge of AI concepts

## What you will learn

- Design MCP-based integration architectures
- Implement MCP servers and workflows
- Analyse communication patterns and performance
- Evaluate security and access control measures
- Manage deployment and scaling of MCP systems
- Communicate AI integration designs effectively

## Skills you will gain

- MCP architecture fundamentals
- MCP server development
- STDIO and SSE transport
- AI tool integrations
- Security and governance basics
- Deployment and scaling strategies

## Career progression

- AI Integration Engineer
- Automation Engineer
- Platform Engineer
- AI Developer
- Solutions Engineer

## Curriculum

1. **Module 1:  Getting Ready**
   - Introduction to MCP concepts
   - Environment setup and tools
   - Overview of AI integration patterns
2. **Module 2:  MCP Architecture and Components**
   - MCP protocol fundamentals
   - Client-server interaction model
   - Context and tool abstraction
3. **Module 3: Building MCP Servers**
   - Server design and structure
   - Tool registration and handling
   - Request and response workflows
4. **Module 4:  Transport Mechanisms**
   - STDIO communication model
   - Server-Sent Events (SSE)
   - Real-time data exchange patterns
5. **Module 5:  Integrating LLMs and Tools**
   - Connecting AI models to MCP
   - External API integrations
   - Tool chaining and orchestration
6. **Module 6:  Security and Governance**
   - Authentication and access control
   - Secure data handling
   - Governance and best practices
7. **Module 7: Deployment and Scaling**
   - Hosting MCP servers on VPS
   - Monitoring and logging
   - Scaling MCP services

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Is this course suitable for beginners?**

It is best suited for learners with basic API or automation knowledge.



**Will I build real MCP integrations?**

Yes, the course focuses on practical scenarios and real implementations.



**Do I need programming knowledge?**

Basic understanding of APIs and logic is recommended.



**Does this course need an exam?**

No, there is no mandatory exam; assessment is based on practical implementation.



**What can I do after this course?**

You can progress to advanced AI integration or platform engineering roles.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | CLD-0085 |
| Duration | 3 days |
| Level | Practitioner |
| Track | IaC & Automation |
| Category | Cloud & DevOps |
| Credential tier | tier1 |
| Price (GBP) | £1999 |

---

## About this content

This Markdown course profile is the citation-grade twin of [MCP: Model Context Protocol](https://xcademia.com/courses/mcp-model-context-protocol). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/mcp-model-context-protocol
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt