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Model Context Protocol (MCP) Training

Training Format: Live Online / In-Person Duration: 1 Day Download PDF

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Description

LLM Integration and MCP Server Development – 1-Day Technical Program

Model Context Protocol (MCP) Training is designed for technical teams that want to connect large language model (LLM) based applications to external tools and data sources such as APIs, file systems, databases, and Git. The one-day live program covers MCP architecture, hands-on MCP server development, Claude Code and Cursor integrations, and enterprise security controls.

The goal of the training is for participants to understand the communication between an MCP client and server, develop a basic MCP server, and use the tools it defines in compatible AI applications. Throughout the program, tool schemas, handling of calls, input and output validation, and permission scoping are covered through practical scenarios.

What Is the Model Context Protocol (MCP)?

The Model Context Protocol is an open protocol that helps AI applications communicate with external tools and data sources. An MCP server can expose specific tools and resources to compatible clients. This allows applications to retrieve data or perform specific operations within defined access boundaries.

The training also examines how MCP relates to classic REST API integrations. A REST API can be used for the operations an existing system offers; MCP provides a communication structure that governs how those operations are exposed to AI applications as tools.

Training Outcomes

  • Understand MCP architecture and client-server communication from a technical perspective.
  • Develop a basic MCP server by creating a definition and schema for a tool.
  • Handle tool calls with input and output validation.
  • Build integrations between LLM-based applications and external tools.
  • Use MCP tools in Claude Code and Cursor environments.
  • Evaluate access permissions, logging, and audit needs in an enterprise MCP architecture.
  • Identify the core controls for secure and auditable AI integrations.

Who Is the MCP Training For?

The program is suitable for software developers building LLM-based applications, AI teams, integration specialists, and solution architects. Technical teams planning to expose enterprise tools and data to AI applications in a controlled way can also benefit from the training.

Hands-On MCP Server Development

The training walks through defining tools, creating schemas, writing handler functions, and running a local MCP server. The Claude Code and Cursor sections cover connecting tools, calling them, and using the results they return. In the final project, participants develop a simple MCP server, retrieve data through a tool, and generate a report from the data they obtain.

Teams that want to treat MCP connections as part of an agent architecture can explore the AI Agent Development and Usage Training program. For other programs, browse the corporate artificial intelligence training category.

Outline

1. What Is MCP? Theoretical Foundations
  • Why LLM-based applications need integration components to communicate with external systems.
  • The concept of tool calling.
  • The motivation behind the emergence of MCP and the need for a standard connection structure.
  • Comparing MCP with traditional REST integration.
  • Making external data available to the model (context injection).
  • MCP client and MCP server (client-server) architecture.
2. Building an MCP Server: Hands-On Development
  • Defining an MCP tool and creating a schema.
  • Input and output validation.
  • Writing handler functions that process tool calls.
  • JSON-RPC communication logic.
  • Running an MCP server in a local environment.
3. Using MCP with Claude Code
  • Connecting MCP tools to the Claude Code environment.
  • Calling tools and processing the returned response.
  • The plan-first, then tool-call approach.
  • A scenario of retrieving and analyzing data through a tool.
4. Cursor and MCP Integration
  • Using MCP tools in agent mode.
  • Making MCP calls during code generation.
  • Evaluating file system and Git integrations.
5. Security and Enterprise Controls
  • Defining the operation and access scope of tools (tool scoping).
  • Limiting access permissions to the operations that are needed.
  • Evaluating prompt injection risks.
  • Validating tool outputs.
  • Audit records and logging mechanisms.
  • Designing an on-premises (on-prem) MCP server.
6. Final Hands-On Project
  • Building a simple MCP server.
  • Connecting the developed server to Claude Code.
  • Retrieving data through an MCP tool.
  • Generating a report from the retrieved data.
  • Implementing a security scenario on the integration.

Frequently Asked Questions About MCP Training

What does the Model Context Protocol (MCP) training cover?

The training covers MCP architecture, tool definition, hands-on MCP server development, Claude Code and Cursor integrations, and security and enterprise controls. In the final project, participants retrieve data through the server they built and generate a report.

How many days does the MCP training last, and how is it delivered?

The program lasts 1 day and is delivered live online or in person. Alongside the theoretical architecture topics, it includes hands-on MCP server development and tool integration.

Does the training include hands-on MCP server development?

Yes. The program covers tool definition, schema creation, input and output validation, writing handler functions, and running a local MCP server. In the final project, the server participants build is connected to Claude Code.

Does the training teach using MCP with Claude Code and Cursor?

Yes. The Claude Code section covers connecting MCP tools, calling them, and processing their results. The Cursor section covers using tools in agent mode, making MCP calls during code generation, and file system and Git integrations.

Does the training explain the difference between MCP and a REST API?

Yes. MCP and classic REST integration are compared in the theoretical foundations section. The MCP client-server architecture and the logic of tool calling are also examined.

Are MCP security and on-premises server design part of the training?

Yes. Defining tool scope, limiting permissions, prompt injection risks, output validation, and audit records are included in the program. Designing an on-premises MCP server is also covered in this section.

How does the MCP training relate to the AI agent development training?

The MCP training focuses on connecting AI applications to external tools and data sources. The AI agent development training covers broader system design, such as planning, memory, tool use, and multi-agent coordination. MCP can be used for tool connections in an agent system.

How can I get a price quote for the corporate MCP training?

For training planning and pricing, you can send your request to BlueMark Academy through the contact form on the page. Describing your team’s technical level and training goals helps us evaluate your request.